Gianluca
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The link to the UniMRCP Google Speech Plugin Proposal is very helpful. Are there similar documents for other parts of the roadmap? What about Microsoft Speech plugin? Is there a proposal for that? Is to for Azure/Bing speech or Windows Server Speech Platform?
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On Mon, May 8, 2017 at 2:45 PM, Joshua Gigg <gig...@gmail.com> wrote:On Friday, 5 May 2017 19:33:09 UTC+1, Arsen Chaloyan wrote:
> While the time for the Microsoft Bing Speech API integration is yet to come, I'd like to provide a quick update on the Google Speech API plugin.
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> Instead of originally planned implementation of the corresponding HTTP/REST API, the gRPC streaming recognition interface is being implemented, which is a better fit for MRCP inter-operation and the most efficient option among the others.
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> The plugin is already in a functional stage, and I'd expect a preliminary version be available by the end of next week. If anyone is interested in testing that out, please let me know.
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> On Mon, Apr 24, 2017 at 1:23 PM, Michael Levy <michae...@gmail.com> wrote:
> The link to the UniMRCP Google Speech Plugin Proposal is very helpful. Are there similar documents for other parts of the roadmap? What about Microsoft Speech plugin? Is there a proposal for that? Is to for Azure/Bing speech or Windows Server Speech Platform?
>
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>
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> Arsen Chaloyan
> Author of UniMRCP
> http://www.unimrcp.org
Hi,
This is something that I would be interested in helping to test.
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Hi Arsen,I'm very intersted in testing this plugin because at this time i'm working on an IVR app based on Freeswitch.
For a fast response, I'need to use a reliable speech recognition system in asynchronous mode, so i think the MRPCv2 <-> gRPC is the best solution. I tried both the Bing Speech API and the Google Speech API with a big preference for the latter in conjunction with the speechContexts.
Are the plugin ready to use the Google Speech Contexts ?
I usually work with Ubuntu/Debian vm's on AWS,so I'll try to compile the plugin directly from the sources.
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Where a speech context is a collection of arbitrary phrases.
@ArsenOk, i'm looking forward to test the trial version but i'll wait for the Ubuntu trial release.
You said :Where a speech context is a collection of arbitrary phrases.I understand the Speech Context, in the Cognitive and Natural Language Processing point of view, as a collection of phrases related to a specific Intent (see Watson Conversation, Google Api.ai or Amazon Lex).Last month i tried for about 3 weeks the Bing and Google Speech API to evaluate the accuracy of the recognition in a telephony use case (8KHz LINEAR16). I concluded that for my personal purposes the speech contexts are important because they are good enough to dicriminate between subtle but fundamental alternatives.
@DavidYes, i experencied your same timing problems with Google Speech. With the same audio sample, i registred random response times between 1200 and 3700 millisecs. Conversely, Bing Speech is fast and constant, about 400-500 millisecs but the recog accuracy is lesser and for my purposes unusable @ 8KHz.The Google timings is not suitables for realtime speech recog as I think the maximum time acceptable in a natural conversation is under 2 seconds for the overall round-robin process. I think but i'm not sure that the problem could be lead as the fact that the Google Speech Api was in Beta version or as the fact that the Machine Learning model based on Tensorflow behind the scenes is (very much) computationally intensive.I'm asking our (italian) Regional Google Product Manager for the Speech API about these issues ...
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Thank you Arsen,i'm new to UniMRCP, so i'm starting to read the GSR plugin and the UniMRCP developers docs.UniMRCP is really a very interesting work.
Now, I would like to execute some real-time DSP analysis in a separate c pthread.I would also like to control either the stream passed to your GSP plugin and the (async ?) results returned from Google Speech.What is, in your opinion, the best way to do this with UniMRCP ?
Ideally, for rapid prototyping, I would like to work in c/c++ for the real-time analysis and in Node.js for events handling.Does UniMRCP have a mechanism like the Freeswitch mod_event_socket to control the execution flow from an external program ?
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