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Whisper

Whisper is OpenAI's general-purpose speech recognition model supporting multilingual transcription, translation, and language identification.

Overview

Whisper is a Transformer-based sequence-to-sequence model trained on diverse speech tasks. It enables high-quality multilingual speech recognition, translation, and language identification, and provides both CLI and Python APIs for integration.

Core Features

  • Multilingual speech recognition and optional translation across multiple model sizes (tiny → large-v3).
  • CLI and Python interfaces, pre-trained models, model cards, and example notebooks for quick onboarding.
  • Portable implementation with support across common hardware and environments.

Use Cases

  • Transcription and subtitle generation, cross-language speech translation, and voice data annotation.
  • Media processing, meeting summarization, and voice-driven interfaces.

Technical Highlights

  • Transformer sequence-to-sequence architecture with mel-spectrogram preprocessing and decoding utilities.
  • MIT licensed, open-source codebase with extensive examples, benchmarks, and community support.

Comments

Whisper
Resource Info
🌱 Open Source 🗣️ Text to Speech