A program that detects speech segments in audio files with inaSpeechSegmenter, recognizes speech with Cloud Speech-to-Text for each segment detected, and saves the speech description for each segment in csv format.
inaSpeechSegmenter is a CNN-based audio segmentation toolkit.
$ virtualenv -p python3 inaSpeechSegEnv
$ source inaSpeechSegEnv/bin/activate
$ pip install tensorflow-gpu # for a GPU implementation
$ pip install tensorflow # for a CPU implementation
$ pip install inaSpeechSegmenter
$ pip install google-cloud-speechIn advance, you need to create a service account in Cloud Console, set environment variables, and configure authentication.
export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/my-key.json"Video to audio file.
$ ffmpeg -i input.mp4 -ar 16000 -ac 1 -map 0:2 output.wav