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We consider Google speech API as alternative to IBM Watson because of its supposed capabilities to handle background noise and better accuracy. The sample includes some noise, but the quality does not change over the signal. Mean opinion score MLS is a measure used in the domain of quality of experience and Telecommunications engineering representing overall it is the arithmetic mean overall opinion of the performance evaluation testĪs you can see some parts in the middle are missing as well. Such ratings are usually gathered in a subjective quality evaluation test, but they can also be algorithmically estimated. It is the arithmetic mean over all individual “values on a predefined scale that a subject assigns to his opinion of the performance of a system quality”. Mean opinion score (MOS) is a measure used in the domain of Quality of Experience and telecommunications engineering, representing overall quality of a stimulus or system. I am using all results and still transcript is clearly cut in the middle. The audio file is wav file with format( printed by ffprobe ) Stream #0:0: Audio: pcm_s16le ( / 0x0001), 16000 Hz, 1 channels, s16, 256 kb/sĪudio file has been uploaded in google drive, link is here Īnybody know whats wrong with above process/steps? or this is bug google speech recognition api?

My account now is of free trial, so I doubt whether it is because of my account type( free trial). I can use it with API key generated by Google could console to successfully translate audio file(30 seconds) into text, but not fully, only first 2-3 seconds. Also used the transcribe.py recommended by Google, I created a project in Google Cloud Console, and enabled Google Speech API in this project, and create credentials.

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