Related Issues (20)
- [Feature Request]: Improve DAC interface
- unused parameters when using WavLM. cased crash when using DDP HOT 9
- [Feature Request]: Load a speechbrain-fine-tuned huggingface model checkpoint with the huggingface interface HOT 1
- Incorrect transformer mask size HOT 8
- loading fully trained brain (a brain who finished training) and then evaluating it with brain.evaluate. will cause a crash when using hpopt context but not reporting in test stage
- Hi! LibriSpeech char training!! HOT 1
- Wav2Vec2Pretrain (HFTransformersInterface implementation) samples padded values for mask_time_indices and negative_sample_indices HOT 2
- spkrec-ecapa-voxceleb-mel-spec model modifies mel spectrum in place when used with CPU
- A few unoptimised piece of code (augmentation and masking) HOT 2
- Language codes not following ISO standards in lang-id-voxlingua107-ecapa HOT 1
- Train loop may crash during checkpointing HOT 5
- Possible NCCL-level deadlock during checkpointing HOT 7
- Error during encoding
- AMP at inference time HOT 3
- Unable to use model trained from enhancement template HOT 1
- 🐞 | Import error in speechbrain.pretrained HOT 3
- Not Able to use 'speechbrain/spkrec-ecapa-voxceleb' embeddings in Google Colab. HOT 3
- 'S2STransformerBeamSearcher' object has no attribute 'ctc_forward_step' HOT 2
- Inference interface uncompatible with Python < 3.9 HOT 1
- Issues regarding discrete WavLM and discrete HuBERT HOT 4
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from speechbrain.