Nitzan Shaer's presentation at eComm 2008

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  • Nitzan Shaer's presentation at eComm 2008

    1. 1. VoxGirl and Speech Recognition For Rough Conditions Nitzan Shaer, C.O.O - MOBIVOX
    2. 2. MOBIVOX: From ANY Phone
    3. 3. Challenges “regular” mobile users still face…
    4. 4. MOBIVOX – Connect to your world! <ul><li>Works from ANY phone </li></ul><ul><ul><li>Free calling between members and Skype </li></ul></ul><ul><li>Uses Natural Language </li></ul><ul><ul><li>Call your friends by name, not number </li></ul></ul><ul><li>Personalized & tailored user experience </li></ul><ul><li>Built for global, mass adoption </li></ul><ul><ul><li>Users in 107 countries </li></ul></ul><ul><ul><li>500,000 users in first 4 months </li></ul></ul>
    5. 5. How does it work? <ul><li>Agnostic to handset, carrier, network, bandwidth… No downloads, software or need for a PC </li></ul><ul><li>A Network of local access numbers around the world </li></ul><ul><li>Intelligent and personalized voice recognition service </li></ul>
    6. 6. Meet VoxGirl <ul><li>Humanized </li></ul><ul><li>Instant conferencing & Group Calling: Up to 9 people </li></ul><ul><li>Convergence Call handoff from mobile to landline </li></ul><ul><li>Quick learner </li></ul>Hi! My Name is Voxgirl, your personal assistant
    7. 7. VoxGirl and Rough Conditions
    8. 8. Speech Recognition in Rough Conditions <ul><li>The path of voice before recognition: </li></ul>1. Environment 2. Speaker 3. Device 4. Channel Receiver… MOBIVOX Focus Device and Channel independent
    9. 9. Solution #1: Personalized Profiles <ul><li>Listen to our users </li></ul><ul><li>Identify personal voice </li></ul><ul><li>Identify personal noise </li></ul><ul><li>Set thresholds </li></ul>Hi! My Name is VoxGirl, your personal assistant
    10. 10. Solution #2: Noise recognition <ul><li>Created pool of common noises </li></ul><ul><li>Trained noise models to recognize spectral signature based on over 20 features </li></ul><ul><li>Rapid Sampling </li></ul><ul><li>Voice vs. Noise </li></ul>
    11. 11. A: User saying « Rick Moore »
    12. 12. B: Energy Level
    13. 13. C: Probability of speech
    14. 14. Solution #3: Focus <ul><li>Reduce vocabulary </li></ul><ul><li>Help users say the right words </li></ul><ul><li>Anticipate answer spectrum </li></ul>
    15. 15. Solution #4: In my own words <ul><li>Say it, save it! </li></ul><ul><li>Compare to previously captured user recordings </li></ul><ul><li>Independent of accent and intonation </li></ul>
    16. 16. Sneak Peek…API & Developer Program <ul><li>Access to a GLOBAL audience, 107 countries </li></ul><ul><li>Develop and rapidly deploy Value Added Services </li></ul><ul><li>Enhance current products with cutting edge MOBIVOX technology </li></ul><ul><li>http://developer.mobivox.com </li></ul>
    17. 17. An eComm 2008 presentation – http://eCommMedia.com for more

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