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Pepper and
Watson Speech related API
(a.k.a Failure story of making Translation App on Pepper)
Forex Robotics Co., Ltd
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
At first,
This is failure sotry of
development,
_| ̄|○
Please take easy to listening … 
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
ML
Research and
Development
Marketing prediction
system
Robot
Development Robot
App and systems
Fin-tech
Development MT4
EA App and systems
Kaz
Takahashi
Forex Robotics CO., Ltd.
CEO
1+1
1 Pepper, 1 Person
(as of May 2016)
Previous
Developer and
researcher Trend Micro
Inc, about consumer
product and security
2015
Established since
Garage Entrepreneurs
IBM
Join Global
Entrepreneur
Program
Get award of Pepper
related hackathon
2times
Certified Official Robo App
Partner (Basic)
Bluemix
use
Node-RED
Watson API
DashDB
Official member
Robot Revolutio
Initiative
Copyright 2015 Forex Robotics Co. Ltd. Allright Reserved.
Introduced Communication Robot Industory Map by Robot Start
sorce:Communication Robot Industy Map / 2016 Q1 / Japan robot start inc.
Main Issue: One day,
One customer ask me that …
“Can Pepper translate
between Japanese and
Chinese without additional
device?”
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
Customer Insight
•My customer’s store already sets up Pepper.
•The store come many Chinese customer at one time. (By
sight seeing bus, guess around 50 people)
•But only 2 persons about Chinese speaker staff.
•If Pepper translate between JP  Chinese, JP speaker
staff may support Chinese customers.
•No additional cost, because my customer already have
bought Pepper.
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
However,
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
Speech to text Text to speechLanguage Translation
Pepper’s speech recognition APIs
are not realized “free word” recognition. (need to define wording)
Are Pepper + Watson API able to do that?
But the reality was not so sweet …
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
音声認識
Speech to text
音声合成
Text to speech
テキスト翻訳
Language Translation
EN
Portuguese
Spanish
French
Arabic
English (UK)
Portuguese
(Brazil)
English (US)
Japanese
Chinese
(北京語)
Arabic
Spanish
Spanish
English
(US,UK)
Portuguese
(Brazil)
French
German
Italian
Japanese
Functions don’t connect. ( ゚Д゚)
TO make matters worse…
Pepper’s microphone is easy to pick up noise
• Conjecture
• Pepper has microphone on head top. (there are 4 microphones)
• Also Pepper has CPU fan on head top, so easy to pick up the noise.
• The sound data has disadvantage for Watson Speech Recognition API.
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
It should be silent.
So, from Pepper is
Difficult to recognition speech by Watson API
• 千 売り場は どこで
• うん 無理は どこ
• チェン氏は どこです
• 支援 おりはどこ で
• D_エー売り場とか
• 遅延 売りは どこで
• チェーン 売り場 とこ です
• D_エー売り は どこ です
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
(例)
「チェーン売り場は
どこですか?」
e.g. “Where is car chain section?”
To begin with,
What is the speech recognition? (in Japanese)
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
O H A
1. Identified vowels and consonants
based on spike.
千
チェン
遅延
チェーン
2. Analogy words based on
identified sounds.
• Conjecture
• When pickup wording, I guess that selected high frequency appearance word.
• If so, terminology is low rate to pick up, because low frequency appearance wording.
• In the first place, there is possibility of not listed wording .(e.g. special terminology or
coined word)
Summary
• Pepper’s Speech recognition APIs are difficult about free
word recognition.
• Watson Speech recognition API is support free word
recognition and grate support function for Pepper.
• However, Japanese  Chinese translation function is not
realize only Watson API. (as of May 2016)
• Request of Watson Speech Recognition API
• Need frequency control and add word function for
terminology.
• It's super, if improve recoginition by noises!
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
Finally, I made proto type! 
• I’ll do demo at Robot Forum 2016 in Forex Robotics booth. (July 1st, Aug 2nd)
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
http://youtu.be/tTufpC5xReo
At the end,
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
Wanted business opportunity about cooperation of the robot and IT
systems!
Also wanted partner company! (no matter JP or not)
Boost up robot industry together!
ktakahashi@forexrobotics.jp
https://www.facebook.com/forexrobotics.jp/
Feel free contact me!
Thank you for your attention!
Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.

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Pepper and Watson Speech related API

  • 1. Pepper and Watson Speech related API (a.k.a Failure story of making Translation App on Pepper) Forex Robotics Co., Ltd Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
  • 2. At first, This is failure sotry of development, _| ̄|○ Please take easy to listening …  Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
  • 3. Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. ML Research and Development Marketing prediction system Robot Development Robot App and systems Fin-tech Development MT4 EA App and systems Kaz Takahashi Forex Robotics CO., Ltd. CEO 1+1 1 Pepper, 1 Person (as of May 2016) Previous Developer and researcher Trend Micro Inc, about consumer product and security 2015 Established since Garage Entrepreneurs IBM Join Global Entrepreneur Program Get award of Pepper related hackathon 2times Certified Official Robo App Partner (Basic) Bluemix use Node-RED Watson API DashDB Official member Robot Revolutio Initiative
  • 4. Copyright 2015 Forex Robotics Co. Ltd. Allright Reserved. Introduced Communication Robot Industory Map by Robot Start sorce:Communication Robot Industy Map / 2016 Q1 / Japan robot start inc.
  • 5. Main Issue: One day, One customer ask me that … “Can Pepper translate between Japanese and Chinese without additional device?” Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
  • 6. Customer Insight •My customer’s store already sets up Pepper. •The store come many Chinese customer at one time. (By sight seeing bus, guess around 50 people) •But only 2 persons about Chinese speaker staff. •If Pepper translate between JP  Chinese, JP speaker staff may support Chinese customers. •No additional cost, because my customer already have bought Pepper. Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
  • 7. However, Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. Speech to text Text to speechLanguage Translation Pepper’s speech recognition APIs are not realized “free word” recognition. (need to define wording) Are Pepper + Watson API able to do that?
  • 8. But the reality was not so sweet … Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. 音声認識 Speech to text 音声合成 Text to speech テキスト翻訳 Language Translation EN Portuguese Spanish French Arabic English (UK) Portuguese (Brazil) English (US) Japanese Chinese (北京語) Arabic Spanish Spanish English (US,UK) Portuguese (Brazil) French German Italian Japanese Functions don’t connect. ( ゚Д゚)
  • 9. TO make matters worse… Pepper’s microphone is easy to pick up noise • Conjecture • Pepper has microphone on head top. (there are 4 microphones) • Also Pepper has CPU fan on head top, so easy to pick up the noise. • The sound data has disadvantage for Watson Speech Recognition API. Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. It should be silent.
  • 10. So, from Pepper is Difficult to recognition speech by Watson API • 千 売り場は どこで • うん 無理は どこ • チェン氏は どこです • 支援 おりはどこ で • D_エー売り場とか • 遅延 売りは どこで • チェーン 売り場 とこ です • D_エー売り は どこ です Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. (例) 「チェーン売り場は どこですか?」 e.g. “Where is car chain section?”
  • 11. To begin with, What is the speech recognition? (in Japanese) Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. O H A 1. Identified vowels and consonants based on spike. 千 チェン 遅延 チェーン 2. Analogy words based on identified sounds. • Conjecture • When pickup wording, I guess that selected high frequency appearance word. • If so, terminology is low rate to pick up, because low frequency appearance wording. • In the first place, there is possibility of not listed wording .(e.g. special terminology or coined word)
  • 12. Summary • Pepper’s Speech recognition APIs are difficult about free word recognition. • Watson Speech recognition API is support free word recognition and grate support function for Pepper. • However, Japanese  Chinese translation function is not realize only Watson API. (as of May 2016) • Request of Watson Speech Recognition API • Need frequency control and add word function for terminology. • It's super, if improve recoginition by noises! Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.
  • 13. Finally, I made proto type!  • I’ll do demo at Robot Forum 2016 in Forex Robotics booth. (July 1st, Aug 2nd) Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. http://youtu.be/tTufpC5xReo
  • 14. At the end, Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved. Wanted business opportunity about cooperation of the robot and IT systems! Also wanted partner company! (no matter JP or not) Boost up robot industry together! ktakahashi@forexrobotics.jp https://www.facebook.com/forexrobotics.jp/ Feel free contact me!
  • 15. Thank you for your attention! Copyright ©2015 – 2016 Forex Robotics Co. Ltd. All rights Reserved.