SpeechBrain PyTorch Conversational AI and Speech Processing Toolkit

SpeechBrain is an open-source PyTorch toolkit that accelerates conversational AI development. It provides recipes and pretrained models for speech recognition, speaker verification, speech enhancement, speech separation, language modeling, and text-to-speech across 40+ datasets.

Installation

Use the upstream install or setup path that matches your environment:

• pip install speechbrain
• git clone https://github.com/speechbrain/speechbrain.git
• pip install -r requirements.txt
• pip install --editable .

Requirements and caveats from upstream:

• python
• python train.py hparams/train.yaml
• The hyperparameters are encapsulated in a YAML file, while the training process is orchestrated through a Python script.

Basic usage or getting-started notes:

• asr_model.transcribe_file("speechbrain/asr-conformer-transformerlm-librispeech/example.wav")

• Every class or function has clear explanations and examples that you can run. Check out the documentation for more details 📚.

• 🚀 Quick Start

• Source: https://github.com/speechbrain/speechbrain

• Extracted from upstream docs: https://raw.githubusercontent.com/speechbrain/speechbrain/HEAD/README.md

Source

• Agent Skill Exchange