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Improving Analytics with Machine and Deep Learning
SpeechTEK 2015
Jeh Daruvala - CEO
jeh@yactraq.com
Why Speech Analytics?
• Voice-of-the-Customer
• Compliance
• Cost Savings (Automated agent monitoring)
• Audio Search
2
OmniTraq - Omni-channel Business Intelligence
3
Sales &
Marketing
Competitive
Intelligence
Workforce &
Compliance
Evaluation
VoC & Product
Feedback
Internal Execution
Comprehensive
Intelligence
Analytics
 Media Monitoring
 Call Center Solutions
 CoreTraq
TV & Radio
YouTube &
Web Video
Podcasts &
Other Media
Social Media &
Web Text
External Data
Sources
Sales &
Customer
Service Calls
Company
Meetings &
Events
Conference
Calls &
Videos
Intranet
& Text
Documents
Internal Data
Sources
Actionable Insights
 Local B2B lead generation
 Develop competitive
engagement strategies
 Omni-channel Voice-of-the-
Customer discovery
 Brand sentiment discovery
 Ensure regulatory &
compliance adherence
 Evaluate & manage
performance of call centers
 Turn internal documents,
calls, meetings & events into
searchable metadata
 Customize vocabularies 10-
100X Faster, Better, Cheaper
Custom Vocabularies
• Accurate B2B Speech Systems need to understand,
• Product and Brand names
• Industry and Company specific Business Terms
• Mass customized vocabularies (Unique to each customer)
• Speech based Semantics ( Speech + Text Analytics)
• Language Model (LM) based Systems
• Legacy Phonetic Vocabularies < 1000 words
• Language Models can contain tens of millions of sentences
• Yet LM based systems can save $ millions when building Custom Vocabularies !
4
Yactraq’s Core Technology
5
CoreTraq Platform
Self-learning capability allows for perpetual and inexpensive
enhancements to the platform
Speech
Recognizer
Text Transcripts
Machine Learning
(Offline)
Provides ongoing
improvements to
Speech Recognizer
NLU*
Topic
Engine
*Natural Language
Understanding
Audio & Video Inputs
• Phone Calls
• Radio
• TV
• Web Videos
• Podcasts
• More
Output Metadata
• Keywords
• Topics
• Time-tagging
• Sentiment
• Word confidence
Audio & video is not yet
natively understood by
computers, which work
with character data.
CoreTraq is Yactraq’s
unique speech based
semantic platform that
accurately converts audio
& video into character
data.
6
Example Video - Wells Fargo Becomes The Most Valuable Bank In The World:
Bottom Line | CNBC
7
Wells Fargo Becomes The Most Valuable Bank In The World: Bottom Line | CNBC
https://www.youtube.com/watch?v=J4OMX1Gq5yk
Generic vocabulary fails to classify video
Wells Fargo Becomes The Most Valuable Bank In The World: Bottom Line | CNBC
https://www.youtube.com/watch?v=J4OMX1Gq5yk
8
Financial Services vocabulary offers dramatic improvement – 8.52 score is among
the highest confidence numbers in Yactraq Speech2Topics
Appendix
Improving Analytics with Machine and Deep Learning
SpeechTEK 2015
Jeh Daruvala - CEO
jeh@yactraq.com
Complex Language Modeling
• Web Crawler based Linguistic Data
• General language awareness
• Generic vertical vocabularies
• Financial, Retail, Healthcare etc
• “Is A similar to B?” type questions
• General call/audio classification
• Class Based Language Models
• Limited linguistic data (Phone call transcripts)
• “What specifically?” type questions
• Why 5 calls and not 1 to resolve this?
10
IP Strategy
• Patent pending Speech2Topics Technology
• IP for Defense partnership with
• High degree of Freedom-To-Operate
• Access to Intellectual Ventures’ patent portfolio of over 40,000 patents
11
Dynamic Language Models
• Configuration API
• Continuous Configuration Feed
• Target Topics and Entities
• Automated Vocabulary Updates
12
Versatile Speech Recognition
• Machine learning based information compression
• Higher accuracy
• Embedded systems
• LVCSR – Well suited to small footprint speech recognizers
• Deep Neural Networks – For acoustically challenging data
• Accents
• Languages
13
Hospitals Wary of Hackers Seek Insurance from AIG
https://www.youtube.com/watch?v=Dm2O8XyEmo0
14
General vocabulary shows a high level understanding of topics
Hospitals Wary of Hackers Seek Insurance from AIG
https://www.youtube.com/watch?v=Dm2O8XyEmo0
15
Financial Services vocabulary has sharper understanding and picks up specific
reference to Blue Cross

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Improving Analytics with Machine and Deep Learning - Jeh Daruvala - SpeechTek - 10 Aug 2015

  • 1. Improving Analytics with Machine and Deep Learning SpeechTEK 2015 Jeh Daruvala - CEO jeh@yactraq.com
  • 2. Why Speech Analytics? • Voice-of-the-Customer • Compliance • Cost Savings (Automated agent monitoring) • Audio Search 2
  • 3. OmniTraq - Omni-channel Business Intelligence 3 Sales & Marketing Competitive Intelligence Workforce & Compliance Evaluation VoC & Product Feedback Internal Execution Comprehensive Intelligence Analytics  Media Monitoring  Call Center Solutions  CoreTraq TV & Radio YouTube & Web Video Podcasts & Other Media Social Media & Web Text External Data Sources Sales & Customer Service Calls Company Meetings & Events Conference Calls & Videos Intranet & Text Documents Internal Data Sources Actionable Insights  Local B2B lead generation  Develop competitive engagement strategies  Omni-channel Voice-of-the- Customer discovery  Brand sentiment discovery  Ensure regulatory & compliance adherence  Evaluate & manage performance of call centers  Turn internal documents, calls, meetings & events into searchable metadata  Customize vocabularies 10- 100X Faster, Better, Cheaper
  • 4. Custom Vocabularies • Accurate B2B Speech Systems need to understand, • Product and Brand names • Industry and Company specific Business Terms • Mass customized vocabularies (Unique to each customer) • Speech based Semantics ( Speech + Text Analytics) • Language Model (LM) based Systems • Legacy Phonetic Vocabularies < 1000 words • Language Models can contain tens of millions of sentences • Yet LM based systems can save $ millions when building Custom Vocabularies ! 4
  • 5. Yactraq’s Core Technology 5 CoreTraq Platform Self-learning capability allows for perpetual and inexpensive enhancements to the platform Speech Recognizer Text Transcripts Machine Learning (Offline) Provides ongoing improvements to Speech Recognizer NLU* Topic Engine *Natural Language Understanding Audio & Video Inputs • Phone Calls • Radio • TV • Web Videos • Podcasts • More Output Metadata • Keywords • Topics • Time-tagging • Sentiment • Word confidence Audio & video is not yet natively understood by computers, which work with character data. CoreTraq is Yactraq’s unique speech based semantic platform that accurately converts audio & video into character data.
  • 6. 6 Example Video - Wells Fargo Becomes The Most Valuable Bank In The World: Bottom Line | CNBC
  • 7. 7 Wells Fargo Becomes The Most Valuable Bank In The World: Bottom Line | CNBC https://www.youtube.com/watch?v=J4OMX1Gq5yk Generic vocabulary fails to classify video
  • 8. Wells Fargo Becomes The Most Valuable Bank In The World: Bottom Line | CNBC https://www.youtube.com/watch?v=J4OMX1Gq5yk 8 Financial Services vocabulary offers dramatic improvement – 8.52 score is among the highest confidence numbers in Yactraq Speech2Topics
  • 9. Appendix Improving Analytics with Machine and Deep Learning SpeechTEK 2015 Jeh Daruvala - CEO jeh@yactraq.com
  • 10. Complex Language Modeling • Web Crawler based Linguistic Data • General language awareness • Generic vertical vocabularies • Financial, Retail, Healthcare etc • “Is A similar to B?” type questions • General call/audio classification • Class Based Language Models • Limited linguistic data (Phone call transcripts) • “What specifically?” type questions • Why 5 calls and not 1 to resolve this? 10
  • 11. IP Strategy • Patent pending Speech2Topics Technology • IP for Defense partnership with • High degree of Freedom-To-Operate • Access to Intellectual Ventures’ patent portfolio of over 40,000 patents 11
  • 12. Dynamic Language Models • Configuration API • Continuous Configuration Feed • Target Topics and Entities • Automated Vocabulary Updates 12
  • 13. Versatile Speech Recognition • Machine learning based information compression • Higher accuracy • Embedded systems • LVCSR – Well suited to small footprint speech recognizers • Deep Neural Networks – For acoustically challenging data • Accents • Languages 13
  • 14. Hospitals Wary of Hackers Seek Insurance from AIG https://www.youtube.com/watch?v=Dm2O8XyEmo0 14 General vocabulary shows a high level understanding of topics
  • 15. Hospitals Wary of Hackers Seek Insurance from AIG https://www.youtube.com/watch?v=Dm2O8XyEmo0 15 Financial Services vocabulary has sharper understanding and picks up specific reference to Blue Cross