SlideShare una empresa de Scribd logo
1 de 8
Descargar para leer sin conexión
GTTS System for the
Spoken Web Search Task
   at MediaEval 2012
Amparo Varona, Mikel Penagarikano, Luis Javier Rodríguez Fuentes,
                      Germán Bordel, Mireia Diez

             University of the Basque Country UPV/EHU
                     luisjavier.rodriguez@ehu.es
                            http://gtts.ehu.es



             MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
HEARCH: Search on Broadcast News
  (ASR + Lemmatization + Index)




         MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
HEARCH-P: Search on Parliamentary Sessions
     (Audio-Text Alignment + Index)




           MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
Search on spoken resources
         in the Internet
 • Searching for text queries (computer)
 • Searching for spoken queries (mobile)
 • Need for a common representation:
  • Acoustic (DTW-like approaches)
  • Phonetic (Search on Phone-Lattices)
  • Word-level (ASR-based approaches)
           MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
SWS at MediaEval 2012
     (for GTTS)
• Opportunity search onthe field resources
  unrestricted
               to enter
                        spoken
                                of

• Opportunity to access development and
  evaluation data
• Opportunity tofield state-of-the-art from
  experts in the
                 learn

• Our approach: search of the queries
  phonetic representations
                           of n-best

  on phone lattices of spoken resources
         MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
GTTS System: how it works



•   BUT decoders for Czech, Hungarian and Russian
•   Reduced sets of phonetic classes (IPA clusters)
•   Approximate string matching (n editions allowed):
    Dong Wang’s Lattice2Multigram tool
•   Scores: length-normalized + kind of log-likelihood ratio
    with regard to all the detections in the same audio file
•   Overlapped detections: only the most likely retained
•   For each query: K most likely detections, z-normalization
    and threshold applied
             MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
GTTS System: how it performs



 •   Best configurations determined in preliminary experiments
     on the development dataset
 •   Primary: 3-best query phone decodings, 2 editions allowed
     in matchings
 •   Contrastive: 1-best query phone decoding, 2 editions
     allowed in matchings
 •   Poor performance !!!
 •   Change in the approach: searching for the best detection of
     each query in each audio document
               MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
THANKS !!!

 MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012

Más contenido relacionado

La actualidad más candente

FLAX: Flexible Language Acquisition with Open Data-Driven Learning
FLAX: Flexible Language Acquisition with Open Data-Driven LearningFLAX: Flexible Language Acquisition with Open Data-Driven Learning
FLAX: Flexible Language Acquisition with Open Data-Driven LearningAlannah Fitzgerald
 
Web Archiving Profile - WADL 2013
Web Archiving Profile - WADL 2013Web Archiving Profile - WADL 2013
Web Archiving Profile - WADL 2013Ahmed AlSum
 
Who and What Links to the Internet Archive
Who and What Links to the Internet ArchiveWho and What Links to the Internet Archive
Who and What Links to the Internet ArchiveYasmin AlNoamany, PhD
 
Towards Open Methods: Using Scientific Workflows in Linguistics
Towards Open Methods: Using Scientific Workflows in LinguisticsTowards Open Methods: Using Scientific Workflows in Linguistics
Towards Open Methods: Using Scientific Workflows in LinguisticsRichard Littauer
 
DSpace Update from Open Repositories 2014
DSpace Update from Open Repositories 2014DSpace Update from Open Repositories 2014
DSpace Update from Open Repositories 2014Repository Fringe
 
Linked data and language technologies
Linked data and language technologies Linked data and language technologies
Linked data and language technologies Asuncion Gomez-Perez
 

La actualidad más candente (6)

FLAX: Flexible Language Acquisition with Open Data-Driven Learning
FLAX: Flexible Language Acquisition with Open Data-Driven LearningFLAX: Flexible Language Acquisition with Open Data-Driven Learning
FLAX: Flexible Language Acquisition with Open Data-Driven Learning
 
Web Archiving Profile - WADL 2013
Web Archiving Profile - WADL 2013Web Archiving Profile - WADL 2013
Web Archiving Profile - WADL 2013
 
Who and What Links to the Internet Archive
Who and What Links to the Internet ArchiveWho and What Links to the Internet Archive
Who and What Links to the Internet Archive
 
Towards Open Methods: Using Scientific Workflows in Linguistics
Towards Open Methods: Using Scientific Workflows in LinguisticsTowards Open Methods: Using Scientific Workflows in Linguistics
Towards Open Methods: Using Scientific Workflows in Linguistics
 
DSpace Update from Open Repositories 2014
DSpace Update from Open Repositories 2014DSpace Update from Open Repositories 2014
DSpace Update from Open Repositories 2014
 
Linked data and language technologies
Linked data and language technologies Linked data and language technologies
Linked data and language technologies
 

Destacado

6dicas– veda 4
6dicas– veda 46dicas– veda 4
6dicas– veda 4souzadea1
 
14 10 21_презентация сту
14 10 21_презентация сту14 10 21_презентация сту
14 10 21_презентация стуStanislav Litvinenko
 
Designinteração– veda 3
Designinteração– veda 3Designinteração– veda 3
Designinteração– veda 3souzadea1
 
14 10 21_презентация сту
14 10 21_презентация сту14 10 21_презентация сту
14 10 21_презентация стуStanislav Litvinenko
 
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...MediaEval2012
 
How Spatial Segmentation improves the Multimodal Geo-Tagging
How Spatial Segmentation improves the Multimodal Geo-TaggingHow Spatial Segmentation improves the Multimodal Geo-Tagging
How Spatial Segmentation improves the Multimodal Geo-TaggingMediaEval2012
 
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...MediaEval2012
 
Ghent and Cardiff University at the 2012 Placing Task
Ghent and Cardiff University at the 2012 Placing TaskGhent and Cardiff University at the 2012 Placing Task
Ghent and Cardiff University at the 2012 Placing TaskMediaEval2012
 
The L2F Spoken Web Search system for Mediaeval 2012
The L2F Spoken Web Search system for Mediaeval 2012The L2F Spoken Web Search system for Mediaeval 2012
The L2F Spoken Web Search system for Mediaeval 2012MediaEval2012
 
KIT at MediaEval 2012 – Content–based Genre Classification with Visual Cues
KIT at MediaEval 2012 – Content–based Genre Classification with Visual CuesKIT at MediaEval 2012 – Content–based Genre Classification with Visual Cues
KIT at MediaEval 2012 – Content–based Genre Classification with Visual CuesMediaEval2012
 
Intro totransportphenomenanew
Intro totransportphenomenanewIntro totransportphenomenanew
Intro totransportphenomenanewilovepurin
 
Activities for journalistic skills
Activities for journalistic skillsActivities for journalistic skills
Activities for journalistic skillsJNavarro0321
 
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...MediaEval2012
 
TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...
TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...
TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...MediaEval2012
 
2010 Marketing Plan
2010 Marketing Plan2010 Marketing Plan
2010 Marketing PlanJPemberton15
 
Brave New Task: User Account Matching
Brave New Task: User Account MatchingBrave New Task: User Account Matching
Brave New Task: User Account MatchingMediaEval2012
 
Como hacer una pagina web en wix sharon
Como hacer una pagina web en wix sharonComo hacer una pagina web en wix sharon
Como hacer una pagina web en wix sharonSharon Jimenez
 
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...MediaEval2012
 

Destacado (20)

6dicas– veda 4
6dicas– veda 46dicas– veda 4
6dicas– veda 4
 
14 10 21_презентация сту
14 10 21_презентация сту14 10 21_презентация сту
14 10 21_презентация сту
 
Designinteração– veda 3
Designinteração– veda 3Designinteração– veda 3
Designinteração– veda 3
 
14 10 21_презентация сту
14 10 21_презентация сту14 10 21_презентация сту
14 10 21_презентация сту
 
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Tr...
 
How Spatial Segmentation improves the Multimodal Geo-Tagging
How Spatial Segmentation improves the Multimodal Geo-TaggingHow Spatial Segmentation improves the Multimodal Geo-Tagging
How Spatial Segmentation improves the Multimodal Geo-Tagging
 
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...
TUD at MediaEval 2012 genre tagging task: Multi-modality video categorization...
 
Ghent and Cardiff University at the 2012 Placing Task
Ghent and Cardiff University at the 2012 Placing TaskGhent and Cardiff University at the 2012 Placing Task
Ghent and Cardiff University at the 2012 Placing Task
 
The L2F Spoken Web Search system for Mediaeval 2012
The L2F Spoken Web Search system for Mediaeval 2012The L2F Spoken Web Search system for Mediaeval 2012
The L2F Spoken Web Search system for Mediaeval 2012
 
KIT at MediaEval 2012 – Content–based Genre Classification with Visual Cues
KIT at MediaEval 2012 – Content–based Genre Classification with Visual CuesKIT at MediaEval 2012 – Content–based Genre Classification with Visual Cues
KIT at MediaEval 2012 – Content–based Genre Classification with Visual Cues
 
Intro totransportphenomenanew
Intro totransportphenomenanewIntro totransportphenomenanew
Intro totransportphenomenanew
 
Activities for journalistic skills
Activities for journalistic skillsActivities for journalistic skills
Activities for journalistic skills
 
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...
ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywo...
 
TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...
TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...
TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visu...
 
2010 Marketing Plan
2010 Marketing Plan2010 Marketing Plan
2010 Marketing Plan
 
Brave New Task: User Account Matching
Brave New Task: User Account MatchingBrave New Task: User Account Matching
Brave New Task: User Account Matching
 
Como hacer una pagina web en wix sharon
Como hacer una pagina web en wix sharonComo hacer una pagina web en wix sharon
Como hacer una pagina web en wix sharon
 
κειμενο
κειμενοκειμενο
κειμενο
 
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to A...
 
Papiloma humano
Papiloma humanoPapiloma humano
Papiloma humano
 

Similar a GTTS System for the Spoken Web Search Task at MediaEval 2012

ELKL 5 Language documentation for linguistics and technology
ELKL 5 Language documentation for linguistics and technologyELKL 5 Language documentation for linguistics and technology
ELKL 5 Language documentation for linguistics and technologyDafydd Gibbon
 
A tailor-made one-size-fits-all approach to sentiment analysis
A tailor-made one-size-fits-all approach to sentiment analysisA tailor-made one-size-fits-all approach to sentiment analysis
A tailor-made one-size-fits-all approach to sentiment analysisDiana Maynard
 
ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.
ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.
ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.Lifeng (Aaron) Han
 
Alive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values StudyAlive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values StudyCESSDA Training
 
Audiovisual collections, the spoken word and user needs of scholars in the Hu...
Audiovisual collections, the spoken word and user needs of scholars in the Hu...Audiovisual collections, the spoken word and user needs of scholars in the Hu...
Audiovisual collections, the spoken word and user needs of scholars in the Hu...roelandordelman.nl
 
Open minted content_provision
Open minted content_provisionOpen minted content_provision
Open minted content_provisionLucas anastasiou
 
Overview of the MediaEval 2012 Tagging Task
Overview of the MediaEval 2012 Tagging TaskOverview of the MediaEval 2012 Tagging Task
Overview of the MediaEval 2012 Tagging TaskMediaEval2012
 
An HLT profile of the official South African languages
An HLT profile of the official South African languagesAn HLT profile of the official South African languages
An HLT profile of the official South African languagesGuy De Pauw
 
EDF2012 Aris Karanikas - PortDial
EDF2012  Aris Karanikas - PortDialEDF2012  Aris Karanikas - PortDial
EDF2012 Aris Karanikas - PortDialEuropean Data Forum
 
Report of the second FAIRDOM foundry
Report of the second FAIRDOM foundryReport of the second FAIRDOM foundry
Report of the second FAIRDOM foundryFAIRDOM
 
SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...
SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...
SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...Damiano Spina
 
Dolování dat z řeči pro bezpečnostní aplikace - Jan Černocký
Dolování dat z řeči pro bezpečnostní aplikace - Jan ČernockýDolování dat z řeči pro bezpečnostní aplikace - Jan Černocký
Dolování dat z řeči pro bezpečnostní aplikace - Jan ČernockýSecurity Session
 
(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)
(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)
(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)OpenAIRE
 
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...Menzo Windhouwer
 
Natural Language Processing: L01 introduction
Natural Language Processing: L01 introductionNatural Language Processing: L01 introduction
Natural Language Processing: L01 introductionananth
 
Research data as an aid in teaching technical competence in subtitling
Research data as an aid in teaching technical competence in subtitlingResearch data as an aid in teaching technical competence in subtitling
Research data as an aid in teaching technical competence in subtitlingUniversity of Warsaw
 
Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...FutureTDM
 
Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...
Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...
Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...Europeana
 

Similar a GTTS System for the Spoken Web Search Task at MediaEval 2012 (20)

ELKL 5 Language documentation for linguistics and technology
ELKL 5 Language documentation for linguistics and technologyELKL 5 Language documentation for linguistics and technology
ELKL 5 Language documentation for linguistics and technology
 
A tailor-made one-size-fits-all approach to sentiment analysis
A tailor-made one-size-fits-all approach to sentiment analysisA tailor-made one-size-fits-all approach to sentiment analysis
A tailor-made one-size-fits-all approach to sentiment analysis
 
ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.
ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.
ADAPT Centre and My NLP journey: MT, MTE, QE, MWE, NER, Treebanks, Parsing.
 
Brislinger, Recker: Keeping data re-usable in the evs
Brislinger, Recker: Keeping data re-usable in the evsBrislinger, Recker: Keeping data re-usable in the evs
Brislinger, Recker: Keeping data re-usable in the evs
 
Alive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values StudyAlive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values Study
 
Audiovisual collections, the spoken word and user needs of scholars in the Hu...
Audiovisual collections, the spoken word and user needs of scholars in the Hu...Audiovisual collections, the spoken word and user needs of scholars in the Hu...
Audiovisual collections, the spoken word and user needs of scholars in the Hu...
 
Open minted content_provision
Open minted content_provisionOpen minted content_provision
Open minted content_provision
 
Overview of the MediaEval 2012 Tagging Task
Overview of the MediaEval 2012 Tagging TaskOverview of the MediaEval 2012 Tagging Task
Overview of the MediaEval 2012 Tagging Task
 
An HLT profile of the official South African languages
An HLT profile of the official South African languagesAn HLT profile of the official South African languages
An HLT profile of the official South African languages
 
Scaling the (evolving) web data –at low cost-
Scaling the (evolving) web data –at low cost-Scaling the (evolving) web data –at low cost-
Scaling the (evolving) web data –at low cost-
 
EDF2012 Aris Karanikas - PortDial
EDF2012  Aris Karanikas - PortDialEDF2012  Aris Karanikas - PortDial
EDF2012 Aris Karanikas - PortDial
 
Report of the second FAIRDOM foundry
Report of the second FAIRDOM foundryReport of the second FAIRDOM foundry
Report of the second FAIRDOM foundry
 
SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...
SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...
SpeakerLDA: Discovering Topics in Transcribed Multi-Speaker Audio Contents @ ...
 
Dolování dat z řeči pro bezpečnostní aplikace - Jan Černocký
Dolování dat z řeči pro bezpečnostní aplikace - Jan ČernockýDolování dat z řeči pro bezpečnostní aplikace - Jan Černocký
Dolování dat z řeči pro bezpečnostní aplikace - Jan Černocký
 
(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)
(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)
(Open) Research Data Management in H2020 (ISERD – Tel Aviv, Oct 31, 2016)
 
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
 
Natural Language Processing: L01 introduction
Natural Language Processing: L01 introductionNatural Language Processing: L01 introduction
Natural Language Processing: L01 introduction
 
Research data as an aid in teaching technical competence in subtitling
Research data as an aid in teaching technical competence in subtitlingResearch data as an aid in teaching technical competence in subtitling
Research data as an aid in teaching technical competence in subtitling
 
Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...Technologies and infrastructures supporting text and data analytics: Challeng...
Technologies and infrastructures supporting text and data analytics: Challeng...
 
Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...
Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...
Europeana meeting under Finland’s Presidency of the Council of the EU - Day 2...
 

Más de MediaEval2012

MediaEval 2012 Opening
MediaEval 2012 OpeningMediaEval 2012 Opening
MediaEval 2012 OpeningMediaEval2012
 
A Multimodal Approach for Video Geocoding
A Multimodal Approach for   Video Geocoding A Multimodal Approach for   Video Geocoding
A Multimodal Approach for Video Geocoding MediaEval2012
 
Brave New Task: Musiclef Multimodal Music Tagging
Brave New Task: Musiclef Multimodal Music TaggingBrave New Task: Musiclef Multimodal Music Tagging
Brave New Task: Musiclef Multimodal Music TaggingMediaEval2012
 
Search and Hyperlinking Task at MediaEval 2012
Search and Hyperlinking Task at MediaEval 2012Search and Hyperlinking Task at MediaEval 2012
Search and Hyperlinking Task at MediaEval 2012MediaEval2012
 
CUNI at MediaEval 2012: Search and Hyperlinking Task
CUNI at MediaEval 2012: Search and Hyperlinking TaskCUNI at MediaEval 2012: Search and Hyperlinking Task
CUNI at MediaEval 2012: Search and Hyperlinking TaskMediaEval2012
 
DCU Search Runs at MediaEval 2012: Search and Hyperlinking Task
DCU Search Runs at MediaEval 2012: Search and Hyperlinking TaskDCU Search Runs at MediaEval 2012: Search and Hyperlinking Task
DCU Search Runs at MediaEval 2012: Search and Hyperlinking TaskMediaEval2012
 
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...MediaEval2012
 
The CLEF Initiative From 2010 to 2012 and Onwards
The CLEF Initiative From 2010 to 2012 and OnwardsThe CLEF Initiative From 2010 to 2012 and Onwards
The CLEF Initiative From 2010 to 2012 and OnwardsMediaEval2012
 
Overview of MediaEval 2012 Visual Privacy Task
Overview of MediaEval 2012 Visual Privacy TaskOverview of MediaEval 2012 Visual Privacy Task
Overview of MediaEval 2012 Visual Privacy TaskMediaEval2012
 
MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...
MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...
MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...MediaEval2012
 
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...MediaEval2012
 
Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...
Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...
Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...MediaEval2012
 
The MediaEval 2012 Affect Task: Violent Scenes Detectio
The MediaEval 2012 Affect Task: Violent Scenes DetectioThe MediaEval 2012 Affect Task: Violent Scenes Detectio
The MediaEval 2012 Affect Task: Violent Scenes DetectioMediaEval2012
 
NII, Japan at MediaEval 2012 Violent Scenes Detection Affect Task
NII, Japan at MediaEval 2012 Violent Scenes Detection Affect TaskNII, Japan at MediaEval 2012 Violent Scenes Detection Affect Task
NII, Japan at MediaEval 2012 Violent Scenes Detection Affect TaskMediaEval2012
 
LIG at MediaEval 2012 affect task: use of a generic method
LIG at MediaEval 2012 affect task: use of a generic methodLIG at MediaEval 2012 affect task: use of a generic method
LIG at MediaEval 2012 affect task: use of a generic methodMediaEval2012
 
Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...
Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...
Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...MediaEval2012
 
UNICAMP-UFMG at MediaEval 2012: Genre Tagging Task
UNICAMP-UFMG at MediaEval 2012: Genre Tagging TaskUNICAMP-UFMG at MediaEval 2012: Genre Tagging Task
UNICAMP-UFMG at MediaEval 2012: Genre Tagging TaskMediaEval2012
 
ARF @ MediaEval 2012: Multimodal Video Classification
ARF @ MediaEval 2012: Multimodal Video ClassificationARF @ MediaEval 2012: Multimodal Video Classification
ARF @ MediaEval 2012: Multimodal Video ClassificationMediaEval2012
 

Más de MediaEval2012 (20)

MediaEval 2012 Opening
MediaEval 2012 OpeningMediaEval 2012 Opening
MediaEval 2012 Opening
 
Closing
ClosingClosing
Closing
 
A Multimodal Approach for Video Geocoding
A Multimodal Approach for   Video Geocoding A Multimodal Approach for   Video Geocoding
A Multimodal Approach for Video Geocoding
 
Brave New Task: Musiclef Multimodal Music Tagging
Brave New Task: Musiclef Multimodal Music TaggingBrave New Task: Musiclef Multimodal Music Tagging
Brave New Task: Musiclef Multimodal Music Tagging
 
Search and Hyperlinking Task at MediaEval 2012
Search and Hyperlinking Task at MediaEval 2012Search and Hyperlinking Task at MediaEval 2012
Search and Hyperlinking Task at MediaEval 2012
 
CUNI at MediaEval 2012: Search and Hyperlinking Task
CUNI at MediaEval 2012: Search and Hyperlinking TaskCUNI at MediaEval 2012: Search and Hyperlinking Task
CUNI at MediaEval 2012: Search and Hyperlinking Task
 
DCU Search Runs at MediaEval 2012: Search and Hyperlinking Task
DCU Search Runs at MediaEval 2012: Search and Hyperlinking TaskDCU Search Runs at MediaEval 2012: Search and Hyperlinking Task
DCU Search Runs at MediaEval 2012: Search and Hyperlinking Task
 
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...
Ghent University-IBBT at MediaEval 2012 Search and Hyperlinking: Semantic Sim...
 
The CLEF Initiative From 2010 to 2012 and Onwards
The CLEF Initiative From 2010 to 2012 and OnwardsThe CLEF Initiative From 2010 to 2012 and Onwards
The CLEF Initiative From 2010 to 2012 and Onwards
 
Overview of MediaEval 2012 Visual Privacy Task
Overview of MediaEval 2012 Visual Privacy TaskOverview of MediaEval 2012 Visual Privacy Task
Overview of MediaEval 2012 Visual Privacy Task
 
MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...
MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...
MediaEval 2012 Visual Privacy Task: Privacy and Intelligibility through Pixel...
 
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature...
 
mevd2012 esra_
 mevd2012 esra_ mevd2012 esra_
mevd2012 esra_
 
Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...
Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...
Technicolor/INRIA/Imperial College London at the MediaEval 2012 Violent Scene...
 
The MediaEval 2012 Affect Task: Violent Scenes Detectio
The MediaEval 2012 Affect Task: Violent Scenes DetectioThe MediaEval 2012 Affect Task: Violent Scenes Detectio
The MediaEval 2012 Affect Task: Violent Scenes Detectio
 
NII, Japan at MediaEval 2012 Violent Scenes Detection Affect Task
NII, Japan at MediaEval 2012 Violent Scenes Detection Affect TaskNII, Japan at MediaEval 2012 Violent Scenes Detection Affect Task
NII, Japan at MediaEval 2012 Violent Scenes Detection Affect Task
 
LIG at MediaEval 2012 affect task: use of a generic method
LIG at MediaEval 2012 affect task: use of a generic methodLIG at MediaEval 2012 affect task: use of a generic method
LIG at MediaEval 2012 affect task: use of a generic method
 
Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...
Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...
Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern D...
 
UNICAMP-UFMG at MediaEval 2012: Genre Tagging Task
UNICAMP-UFMG at MediaEval 2012: Genre Tagging TaskUNICAMP-UFMG at MediaEval 2012: Genre Tagging Task
UNICAMP-UFMG at MediaEval 2012: Genre Tagging Task
 
ARF @ MediaEval 2012: Multimodal Video Classification
ARF @ MediaEval 2012: Multimodal Video ClassificationARF @ MediaEval 2012: Multimodal Video Classification
ARF @ MediaEval 2012: Multimodal Video Classification
 

Último

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
The Evolution of Money: Digital Transformation and CBDCs in Central BankingThe Evolution of Money: Digital Transformation and CBDCs in Central Banking
The Evolution of Money: Digital Transformation and CBDCs in Central BankingSelcen Ozturkcan
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 

Último (20)

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
The Evolution of Money: Digital Transformation and CBDCs in Central BankingThe Evolution of Money: Digital Transformation and CBDCs in Central Banking
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 

GTTS System for the Spoken Web Search Task at MediaEval 2012

  • 1. GTTS System for the Spoken Web Search Task at MediaEval 2012 Amparo Varona, Mikel Penagarikano, Luis Javier Rodríguez Fuentes, Germán Bordel, Mireia Diez University of the Basque Country UPV/EHU luisjavier.rodriguez@ehu.es http://gtts.ehu.es MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 2. HEARCH: Search on Broadcast News (ASR + Lemmatization + Index) MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 3. HEARCH-P: Search on Parliamentary Sessions (Audio-Text Alignment + Index) MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 4. Search on spoken resources in the Internet • Searching for text queries (computer) • Searching for spoken queries (mobile) • Need for a common representation: • Acoustic (DTW-like approaches) • Phonetic (Search on Phone-Lattices) • Word-level (ASR-based approaches) MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 5. SWS at MediaEval 2012 (for GTTS) • Opportunity search onthe field resources unrestricted to enter spoken of • Opportunity to access development and evaluation data • Opportunity tofield state-of-the-art from experts in the learn • Our approach: search of the queries phonetic representations of n-best on phone lattices of spoken resources MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 6. GTTS System: how it works • BUT decoders for Czech, Hungarian and Russian • Reduced sets of phonetic classes (IPA clusters) • Approximate string matching (n editions allowed): Dong Wang’s Lattice2Multigram tool • Scores: length-normalized + kind of log-likelihood ratio with regard to all the detections in the same audio file • Overlapped detections: only the most likely retained • For each query: K most likely detections, z-normalization and threshold applied MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 7. GTTS System: how it performs • Best configurations determined in preliminary experiments on the development dataset • Primary: 3-best query phone decodings, 2 editions allowed in matchings • Contrastive: 1-best query phone decoding, 2 editions allowed in matchings • Poor performance !!! • Change in the approach: searching for the best detection of each query in each audio document MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012
  • 8. THANKS !!! MediaEval 2012 - SWS Task - GTTS System - Pisa, October 4, 2012