speechbrain

A PyTorch-based Speech Toolkit

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💡 Why It Matters

SpeechBrain addresses the need for a comprehensive, open source tool for engineering teams focused on automatic speech recognition (ASR) and audio processing. It is particularly beneficial for ML/AI teams, including data scientists and machine learning engineers, who require a robust framework for developing and deploying speech-related applications. With over 11,000 stars on GitHub, SpeechBrain is a mature, production-ready solution that can be integrated into various projects. However, it may not be the right choice for teams seeking lightweight libraries or those with very specific audio processing needs that are not covered by its extensive features.

🎯 When to Use

This is a strong choice for teams looking to build advanced speech recognition systems or speaker diarization applications. Teams should consider alternatives when they need a simpler solution or have unique requirements that SpeechBrain does not address.

👥 Team Fit & Use Cases

Roles such as ML engineers, data scientists, and audio processing specialists can effectively utilise SpeechBrain. It is commonly integrated into products and systems that require voice recognition, transcription services, and interactive voice applications.

🎭 Best For

Machine Learning and AI Engineer

🏷️ Topics & Ecosystem

asr audio audio-processing deep-learning huggingface language-model pytorch speaker-diarization speaker-recognition speaker-verification speech-enhancement speech-processing speech-recognition speech-separation speech-to-text speech-toolkit speechrecognition spoken-language-understanding transformers voice-recognition

📊 Activity

Latest commit: 2026-02-11. Over the past 96 days, this repository gained 440 stars (+4.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.