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WhisperX - AI Audio Models Tool

Overview

WhisperX is an automatic speech recognition (ASR) toolkit that adds word-level timestamps and speaker diarization to OpenAI's Whisper model. It provides fast, accurate transcriptions and is available from a GitHub repository for review and deployment.

Key Features

  • Word-level timestamps for precise alignment
  • Speaker diarization to separate individual speakers
  • Fast, accurate automatic speech recognition
  • Enhances capabilities of OpenAI's Whisper model
  • Hosted and accessible via a GitHub repository

Ideal Use Cases

  • Transcribing meetings and conference calls
  • Creating podcast transcripts with speaker labels
  • Generating subtitles and captions with timestamps
  • Transcribing interviews for research or journalism
  • Processing call-center conversations for analysis

Getting Started

  • Visit the project's GitHub repository URL.
  • Clone or download the repository to your machine.
  • Follow the README for installation and dependency steps.
  • Run the provided examples to transcribe audio and enable timestamps and diarization.

Pricing

Pricing not disclosed. The provided tool metadata lists pricing as null—check the GitHub repository for license and commercial terms.

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
Visit Official Website

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