| name | speechbrain |
| description | SpeechBrain — PyTorch speech toolkit. ASR, speaker recognition, speech separation, diarization, enhancement, language identification, and TTS. Recipe-based training with pre-trained model zoo. |
| tags | ["speech-recognition","speaker-diarization","speaker-verification","speech-embeddings","speechbrain"] |
Overview
SpeechBrain is an open-source PyTorch speech processing toolkit covering ASR (speech-to-text), speaker recognition, speech separation, diarization, enhancement, language identification, emotion recognition, and text-to-speech. Provides pretrained models and recipe-based training.
Installation
uv pip install speechbrain
Speech Recognition
from speechbrain.inference.ASR import EncoderDecoderASR
asr_model = EncoderDecoderASR.from_hparams(
source="speechbrain/asr-crdnn-rnnlm-librispeech",
savedir="pretrained_models/asr")
transcript = asr_model.transcribe_file("audio.wav")
print(f"Transcript: {transcript}")
Speaker Verification
from speechbrain.inference.speaker import SpeakerRecognition
verification = SpeakerRecognition.from_hparams(
source="speechbrain/spkrec-ecapa-voxceleb",
savedir="pretrained_models/spkrec")
score, prediction = verification.verify_files("speaker1.wav", "speaker2.wav")
print(f"Same speaker: {prediction} (score: {score:.3f})")
References
