Home › Audio Models › Whisper by OpenAI

Whisper by OpenAI - AI Audio Models Tool

Overview

Whisper by OpenAI is a robust, general-purpose speech recognition model capable of multilingual transcription, translation, and language identification. It is implemented with a transformer architecture and available from the project's GitHub repository.

Key Features

  • Multilingual transcription across many languages
  • Speech-to-text translation between spoken languages
  • Automatic language identification from audio
  • Transformer-based architecture for robustness and accuracy
  • Open-source implementation available on GitHub

Ideal Use Cases

  • Transcribing interviews, lectures, and podcasts
  • Translating spoken audio into other languages
  • Detecting spoken language in user audio
  • Integrating transcription into voice-enabled apps
  • Preprocessing audio for downstream NLP tasks

Getting Started

  • Visit the project's GitHub page
  • Read the repository README and documentation
  • Clone or download the repository to your machine
  • Install required dependencies listed in the repository
  • Download or access the pre-trained model weights referenced
  • Run included example scripts to transcribe or translate audio
  • Integrate model calls into your application code

Pricing

Not disclosed. Project is available on GitHub; check the repository for licensing and usage terms.

Key Information

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

Related Tools

OpenVoice

OpenVoice is a versatile instant voice cloning framework that allows users to generate speech in multiple languages using only a short audio clip from a reference speaker. The tool provides granular control over voice styles, such as emotion, accent, rhythm, pauses, and intonation, and supports zero-shot cross-lingual voice cloning, enabling users to clone voices across different languages without needing training data for those languages.
WhisperX

WhisperX is an Automatic Speech Recognition (ASR) tool that provides fast and accurate transcriptions with word-level timestamps and speaker diarization features, enhancing the capabilities of OpenAI's Whisper model.
Parler-TTS

A text-to-speech inference and training library for generating high-fidelity speech from text, offering an open-source solution for TTS applications.
SpeechBrain

An all-in-one open-source conversational AI toolkit based on PyTorch offering speech recognition, text-to-speech, speaker recognition, and more.
Whisper Large

A robust speech recognition model based on a Transformer architecture that supports multilingual transcription, speech translation, and language identification.
Retrieval-based Voice Conversion WebUI

An open-source web UI that enables voice conversion using retrieval-based methods, offering configurable options and support for different models.