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speechbrain
/
noisy-whisper-rescuespeech

Automatic Speech Recognition
speechbrain
PyTorch
German
whisper
Transformer
Eval Results
Model card Files Community
noisy-whisper-rescuespeech
File size: 2,729 Bytes 
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# 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 whisper model.
# URL for the biggest Fairseq english whisper model.
whisper_hub: openai/whisper-large-v2
language: german

## Model parameters
sample_rate: 16000
freeze_whisper: false
freeze_encoder_only: false
freeze_encoder: true

# 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
test_beam_size: 8

num_spks: 1

# Enhancement model
Encoder: &id004 !new:speechbrain.lobes.models.dual_path.Encoder
  kernel_size: 16
  out_channels: 256

SBtfintra: &id001 !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
  num_layers: 8
  d_model: 256
  nhead: 8
  d_ffn: 1024
  dropout: 0
  use_positional_encoding: true
  norm_before: true

SBtfinter: &id002 !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
  num_layers: 8
  d_model: 256
  nhead: 8
  d_ffn: 1024
  dropout: 0
  use_positional_encoding: true
  norm_before: true

MaskNet: &id005 !new:speechbrain.lobes.models.dual_path.Dual_Path_Model
  num_spks: 1
  in_channels: 256
  out_channels: 256
  num_layers: 2
  K: 250
  intra_model: *id001
  inter_model: *id002
  norm: ln
  linear_layer_after_inter_intra: false
  skip_around_intra: true

# Whisper ASR and its decoder
Decoder: &id006 !new:speechbrain.lobes.models.dual_path.Decoder
  in_channels: 256
  out_channels: 1
  kernel_size: 16
  stride: 8
  bias: false

whisper: &id003 !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: *id003
  bos_index: 50363
  eos_index: 50257
  min_decode_ratio: 0.0
  max_decode_ratio: 1.0

# Change the path to use a local model instead of the remote one
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
  loadables:
    encoder: !ref <Encoder>
    masknet: !ref <MaskNet>
    decoder: !ref <Decoder>
    whisper: !ref <whisper>

modules:
  encoder: *id004
  masknet: *id005
  decoder: *id006
  whisper: *id003