https://github.com/adityajn105/google_speech_diarization_demo
A demo to show Speech Diarization (seperating audio of different speaker) and converting them to text using Google Cloud Speech API.
https://github.com/adityajn105/google_speech_diarization_demo
google-speech-recognition google-speech-to-text speech-diarization speech-recognition speech-to-text
Last synced: 2 months ago
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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.
- Host: GitHub
- URL: https://github.com/adityajn105/google_speech_diarization_demo
- Owner: adityajn105
- License: gpl-3.0
- Created: 2019-03-30T04:24:36.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-30T18:39:13.000Z (over 7 years ago)
- Last Synced: 2025-01-16T02:31:28.767Z (over 1 year ago)
- Topics: google-speech-recognition, google-speech-to-text, speech-diarization, speech-recognition, speech-to-text
- Language: Jupyter Notebook
- Size: 6.92 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
- License: LICENSE
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README
# 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](https://cloud.google.com/docs/authentication/getting-started) and get application credentials as JSON
2. Get a sample mp3
3. Replace dialog1.mp3 with your sample.mp3
## Author
* **Aditya Jain** - [Portfolio](https://adityajn105.github.io)
## License
This project is licensed under the GNU General Public License v3.0 - see the [LICENSE.md](https://github.com/adityajn105/google_speech_diarization_demo/blob/master/LICENSE) file for details