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WhisperX - AI Audio Models Tool

Overview

WhisperX is an Automatic Speech Recognition (ASR) tool that produces fast, accurate transcriptions with word-level timestamps. It enhances OpenAI's Whisper model by adding speaker diarization and alignment features for improved multi-speaker transcription.

Key Features

  • Fast and accurate transcriptions
  • Word-level timestamps for precise alignment
  • Speaker diarization to separate multiple speakers
  • Enhances OpenAI Whisper model capabilities
  • Available as a GitHub repository

Ideal Use Cases

  • Transcribe interviews with speaker separation
  • Podcast transcription and timestamps
  • Meeting minutes with speaker labels
  • Generate time-aligned subtitle files

Getting Started

  • Clone the GitHub repository
  • Install required dependencies
  • Prepare your audio files
  • Run WhisperX to generate transcripts
  • Review word-level timestamps and diarization outputs

Pricing

No pricing disclosed; repository available at https://github.com/m-bain/whisperX

Limitations

  • Depends on OpenAI's Whisper model for core transcription

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
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