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IBM Data and AI Ideas Portal for Customers

This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (

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Status Delivered
Workspace Speech Services
Created by Guest
Created on Sep 11, 2017

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.

  • Admin
    Marco Noel
    Mar 26, 2020

    STT on CP4D offering

  • Guest
    Oct 11, 2017

    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.

  • Guest
    Oct 5, 2017

    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