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Support STT edge use when not connected to IBM Cloud

Our WPA Automotive clients need to use speech to text when not connected to cloud.  Like turn on and turn off the lights commands in the car when for example the car is in a tunnel and doesn't have internet connectivity to WPA and IBM CLoud services.

  • CARLOS FERREIRA
  • Sep 11 2017
  • Needs review
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  • Jakub Krchák commented
    October 05, 2017 13:33

    The issue is broader than just speech, the WPA team would like to have (limited) conversational capability offline.

    Most relevant speech related task:
    - create offline STT SDK
    -- well-defined API
    -- documentation
    -- offline capabilities
    --- low-energy keyword activation
    --- speech barge-in into TTS
    --- platform support - most importantly BLAS (or equivalent) libraries on ASM level
    -- automotive acoustic models
    -- tools for LM pruning (basic LM smaller than for service)
    -- more languages :)
    -- platform CI

    - create offline TTS SDK
    -- well-defined API
    -- documentation
    -- offline capabilities
    --- CELP voice support
    --- smaller CELP voices (tooling)
    --- RNN prosody & phrasebreak speed up / reimplementation
    --- solve expressive for embedded
    --- parametric (voice transformation) for embedded

  • BHAVIK SHAH commented
    October 11, 2017 15:32

    Hybrid Model is not just Offline speech -- Need a Hybrid Conversation Framework (that should include STT, Conversation, NLU, TTS) - an Edge Model.  Low energy keyword activation can be an first phase of this entire Edge Model Program. For this we would need to know details of how it can be exposed - i.e. open source, library, compiled code and what programming paradigm will it support: (i.e. IOS, Android, Raspberry Pi, Auto-specific models?)


    Right now this work will not be prioritized for Q4 and Q1. We will start having strategic discussions on this in Q4 and have a goal to have something on roadmap by end or Q4 for edge computing.

  • Derek Carroll commented
    October 24, 2017 07:51

    +1