Gracenote Dev slides presented at MHD London 2013

1. MusicHackDay, London
Derek Tingle @dtingle
1

2. You might know us from this...
2

3. We’ve Moved Beyond the Shiny Disc
Music Recognition in phones, Apps and Cloud services – from
iTunes and Amazon to Rhapsody and musiXmatch
Discovery and Playlisting technology and Cover Art in
millions of cars
TV Listings and Video Recognition in Smart TVs and
Apps
3

4. Music APIs
Video APIs
Music Recognition and Discovery
technology and the largest source of
music metadata and Cover Art
Automatic Content Recognition (ACR)
for Second Screen Apps.
Plus, TV listings data and Imagery
4

5. Music APIs
Video APIs
Music Recognition and Discovery
technology and the largest source of
music metadata and Cover Art
Automatic Content Recognition (ACR)
for Second Screen Apps.
Plus, TV listings data and Imagery
5

6. File Recognition
○ Acoustic fingerprint recognizes
audio files
○ Used to retrieve metadata and
related content from Gracenote
database
○ Can also be used to “unlock”
content in cloud lockers
6

7. Streaming Recognition
○ “What’s that song???”
○ Robust audio fingerprint can
tolerate environmental noise
○ Ideal for mobile devices
○ Provides associated metadata and
enriched content
7

8. Rich Music Metadata and Descriptors
Phoenix - “Entertainment”
8

9. Rich Music Metadata and Descriptors
Phoenix - “Entertainment”
Mid Tempo, Energetic Dreamy song
by a Parisian Indie Pop band from the
2000’s
9

10. Rich Music Metadata and Descriptors
Phoenix - “Entertainment”
Mid Tempo, Energetic Dreamy song
by a Parisian Indie Pop band from the
2000’s
10

11. Rich Music Metadata and Descriptors
Phoenix - “Entertainment”
Mid Tempo, Energetic Dreamy song
by a Parisian Indie Pop band from the
2000’s
11

12. Rich Music Metadata and Descriptors
Phoenix - “Entertainment”
Mid Tempo, Energetic Dreamy song
by a Parisian Indie Pop band from the
2000’s
The French group Phoenix draw elements from
their eclectic '80s upbringing to arrive at a
satisfying blend of rock and synthesizers.
Vocalist Thomas Mars, bassist Deck d'Arcy,
and guitarist…
12

13. Over
2000
Genres
Metadata
13

14. 100
Mood Descriptors
14

15. Music APIs
•
•
•
Search by Artist, Album or Track
Rich descriptors, cover art,
biographies, and more…
Wrappers in Python, Javascript,
Ruby, Java, PHP
•
•
•
•
iOS and Android SDKs
Full search and metadata from
Web API
Audio file recognition
Audio streaming recognition
•
•
•
•
C library for Win/Mac/Linux
Full search and metadata from
Web API
File and streaming recognition
Playlist and discovery
15

16. What can I do with Gracenote APIs?
16

17. Habu – Coachella 2013
○ Used Gracenote mood data to create a
“mood map” of each day’s lineup at
Coachella 2013
○ habu app creates one-click mood-based
playlists
17

18. Hella Bar
○ Uses Gracenote Taste
Profile API and Yelp
data to recommend
cafes, bars, and
restaurants that fit
your musical taste
○ By Oscar Celma and
Alex Passant of
Seevl.fm at Hella Hack
Oakland
18

19. Fuwari
○ Mood-grid based mobile app with
beautiful iOS7-inspired design
○ See what moods your Facebook
friends are listening to
○ Winner of TechCrunch Tokyo
Hackathon, Finalist at Mashup
Awards 9
19

20. Experimental API
Timeline Metadata
Adaptive Radio
20

21. Timeline Metadata
○ Segmentation
• Divides songs into verse/chorus/etc segments
○ Beat and Onset Detection
○ Dynamic Moods
• Track moods as they change through the song
21

22. Timeline Metadata
○ https://github.com/gracenotedev/timeline-metadata-api
22

23. Adaptive Radio
○
○
○
○
○
○
RESTful radio API
JSON or XML
Artist or track seeds
Adapts to play and skip events
Rich metadata
Deezer IDs
23

24. Gracenote Prize
2 x UDOO
2 x Timbuk2 Backpack
24

25. We’re Hiring
25

26. Questions?
https://developer.gracenote.com
@GracenoteDev , @dtingle
26