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A demo to show Speech Diarization (seperating audio of different speaker) and converting them to text using Google Cloud Speech API.

License: GNU General Public License v3.0

Jupyter Notebook 87.60% Python 12.40%
speech-recognition speech-to-text speech-diarization google-speech-recognition google-speech-to-text

google_speech_diarization_demo's Introduction

Google Speech Diarization

Prerequisites

You need Python 3.x.x for sure, and following libraries

  1. ffmpeg
  2. google-api-python-client
  3. tqdm
  4. httplib2
  5. oauth2client
  6. google-cloud-speech

How?

  1. Create Service account and get application credentials as JSON
  2. Get a sample mp3
  3. Replace dialog1.mp3 with your sample.mp3

Author

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE.md file for details

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