- From: Deven <deven@binaryveda.com>
- Date: Mon, 15 Jun 2015 18:47:36 +0530
- To: public-speech-api@w3.org
Hi, I have been trying to use Google's Web Speech Api for speech to text recognition. This is the current flow of things. I am using python for this purpose. - Take input from microphone - Segment the audio using Voice Activity Detection. - Send the segment to Google's web speech API (on a thread) - print the response of the API Using this i could only get upto 60-65% conversion accuracy. Is there anyway to improve this? Would doing a pre-processing on the audio (noise-removal, filtering etc) help? -- regards, D.Patel
Received on Tuesday, 16 June 2015 13:38:59 UTC