| # Generated 2023-06-24 from: | |
| # /netscratch/sagar/thesis/speechbrain/recipes/RescueSpeech/Enhancement/joint-training/transformers/hparams/robust_asr_16k.yaml | |
| # yamllint disable | |
| # Model: wav2vec2 + DNN + CTC | |
| # Augmentation: SpecAugment | |
| # Authors: Sangeet Sagar 2023 | |
| # ################################ | |
| # URL for the biggest Fairseq english whisper model. | |
| whisper_hub: openai/whisper-large-v2 | |
| language: german | |
| # Normalize the english inputs with | |
| # the same normalization done in the paper | |
| normalized_transcripts: true | |
| test_only: false # Set it to True if you only want to do the evaluation | |
| auto_mix_prec: False | |
| sample_rate: 16000 | |
| # These values are only used for the searchers. | |
| # They needs to be hardcoded and should not be changed with Whisper. | |
| # They are used as part of the searching process. | |
| # The bos token of the searcher will be timestamp_index | |
| # and will be concatenated with the bos, language and task tokens. | |
| timestamp_index: 50363 | |
| eos_index: 50257 | |
| bos_index: 50258 | |
| # Decoding parameters | |
| min_decode_ratio: 0.0 | |
| max_decode_ratio: 1.0 | |
| # Model parameters | |
| freeze_whisper: True | |
| freeze_encoder: True | |
| whisper: !new:speechbrain.lobes.models.huggingface_whisper.HuggingFaceWhisper | |
| source: !ref <whisper_hub> | |
| freeze: !ref <freeze_whisper> | |
| freeze_encoder: !ref <freeze_encoder> | |
| save_path: whisper_checkpoints | |
| encoder_only: False | |
| decoder: !new:speechbrain.decoders.seq2seq.S2SWhisperGreedySearch | |
| model: !ref <whisper> | |
| bos_index: !ref <timestamp_index> | |
| eos_index: !ref <eos_index> | |
| min_decode_ratio: !ref <min_decode_ratio> | |
| max_decode_ratio: !ref <max_decode_ratio> | |
| modules: | |
| whisper: !ref <whisper> | |
| decoder: !ref <decoder> | |
| pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer | |
| loadables: | |
| whisper: !ref <whisper> | |