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Simple audio file labeling tool for speech diarization/recognition. Allows users to analyze audio files and manually label speakers, which is parsed into a text file. Developed inorder to train our "Speech Diarization" machine learning model.

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KrishnaKarunaharan/AudioLabeller

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AudioLabeller

Simple audio file labeling tool for speech diarization/recognition.

Allows users to analyze audio files and manually label speakers, which is parsed into a text file. Developed inorder to train our "Speech Diarization" machine learning model.

Features:

  • Label up to 3 speakers
  • Fastforward/Rewind effiently
  • Quickly access to all audio files

Instructions:

  1. Drop all .wav/.mp3 files into 'Audio' File

  2. Download Offline web server below and set directory to 'Audio' File (https://chrome.google.com/webstore/detail/web-server-for-chrome/ofhbbkphhbklhfoeikjpcbhemlocgigb?hl=en)

    HINT: Local URL should be http://127.0.0.1:8887/. If not, make approriate changes in index.js */

  3. Download 'Allow-Control-Allow-Origin' extention to allow local file access (https://chrome.google.com/webstore/detail/allow-control-allow-origi/nlfbmbojpeacfghkpbjhddihlkkiljbi)

  4. Open index.html

User Interface:

image

Created by: Krishna Karunaharan

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Simple audio file labeling tool for speech diarization/recognition. Allows users to analyze audio files and manually label speakers, which is parsed into a text file. Developed inorder to train our "Speech Diarization" machine learning model.

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