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SpeechRTC - Speech enabling the open web: Difference between revisions
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SpeechRTC - Speech enabling the open web (view source)
Revision as of 18:26, 21 April 2014
, 21 April 2014→The speech decoder
Andrenatal (talk | contribs) |
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== The speech decoder == | == The speech decoder == | ||
===Decoder=== | |||
Third-party licensing is extremely costly (usual unit is millions) and lead to an unwanted dependency. Write a decoder from scratch is tough, and requires highly specialized and difficult to find engineers. | |||
The good news are that exists great open source toolkits that we can use and enhance. I am a long time supportert and contributor of CMU Sphinx that have a number of quality models on different languages openly available. Plus pocketsphinx can run very fast and accurate when well tuned for both FSG and LVSCR language models. | |||
For LVSCR we can also consider Julius and benchmark it since he has great proved results. | |||
===Automatic retrain=== | |||
We should also build scripts to automatically adapt the acoustic model per user with his own voice, to constantly auto-improve the service individually for him but also for the service as overall. | |||
===Privacy=== | |||
Some argued with me about privacy on online services. At the ideal screnario, actually online recognition is required only for LVSCR, while FSG can be handled offline if architected correctly. I think letting users to choose or not to let us use his voice to improve models is how other OSes handle this issue. | |||
===Offline and online | |||
The same speech server can be designed to run both online as offline, letting the responsibility to handle transmission to the middleware that handle the connections with the front. | |||
== Web Speech API == | == Web Speech API == | ||