nitzan shaer's presentation at ecomm 2008

17
VoxGirl and Speech Recognition For Rough Conditions Nitzan Shaer, C.O.O - MOBIVOX

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Page 1: Nitzan Shaer's presentation at eComm 2008

VoxGirl and Speech Recognition

For Rough Conditions

Nitzan Shaer, C.O.O - MOBIVOX

Page 2: Nitzan Shaer's presentation at eComm 2008

MOBIVOX: From ANY Phone

Page 3: Nitzan Shaer's presentation at eComm 2008

Challenges “regular” mobile users still face…

Page 4: Nitzan Shaer's presentation at eComm 2008

MOBIVOX – Connect to your world!

• Works from ANY phone • Free calling between members and Skype

• Uses Natural Language• Call your friends by name, not number

• Personalized & tailored user experience

• Built for global, mass adoption • Users in 107 countries• 500,000 users in first 4 months

Page 5: Nitzan Shaer's presentation at eComm 2008

How does it work?

• Agnostic to handset, carrier, network, bandwidth… No downloads, software or need for a PC

• A Network of local access numbers around the world

• Intelligent and personalized voice recognition service

Page 6: Nitzan Shaer's presentation at eComm 2008

Meet VoxGirl

• Humanized

• Instant conferencing & Group Calling: Up to 9 people

• ConvergenceCall handoff from mobile to landline

• Quick learner

Hi! My Name is Voxgirl, your personal assistant

Page 7: Nitzan Shaer's presentation at eComm 2008

VoxGirl and Rough Conditions

Page 8: Nitzan Shaer's presentation at eComm 2008

Speech Recognition in Rough Conditions

1. E

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2. S

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3. D

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4. C

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Rec

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The path of voice before recognition:

MOBIVOX Focus Device and Channel independent

Page 9: Nitzan Shaer's presentation at eComm 2008

Solution #1: Personalized Profiles

• Listen to our users

• Identify personal voice

• Identify personal noise

• Set thresholds

Hi! My Name is VoxGirl, your personal assistant

Page 10: Nitzan Shaer's presentation at eComm 2008

Solution #2: Noise recognition

• Created pool of common noises

• Trained noise models to recognize spectral signature based on over 20 features

• Rapid Sampling

• Voice vs. Noise

Page 11: Nitzan Shaer's presentation at eComm 2008

A: User saying « Rick Moore »

Page 12: Nitzan Shaer's presentation at eComm 2008

B: Energy Level

Page 13: Nitzan Shaer's presentation at eComm 2008

C: Probability of speech

Page 14: Nitzan Shaer's presentation at eComm 2008

Solution #3: Focus

• Reduce vocabulary

• Help users say the right words

• Anticipate answer spectrum

Page 15: Nitzan Shaer's presentation at eComm 2008

Solution #4: In my own words

• Say it, save it!

• Compare to previously captured user recordings

• Independent of accent and intonation

Page 16: Nitzan Shaer's presentation at eComm 2008

Sneak Peek…API & Developer Program

• Access to a GLOBAL audience, 107 countries

• Develop and rapidly deploy Value Added Services

• Enhance current products with cutting edge MOBIVOX technology

http://developer.mobivox.comhttp://developer.mobivox.com

Page 17: Nitzan Shaer's presentation at eComm 2008

An eComm 2008 presentation –

http://eCommMedia.com for more