speechbrain · Adel-Moumen · Jan 16, 2024 · Mar 3, 2023 · Mar 3, 2023
diff --git a/updates_pretrained_models/asr-wav2vec2-commonvoice-de/hyperparams.yaml b/updates_pretrained_models/asr-wav2vec2-commonvoice-de/hyperparams.yaml
@@ -0,0 +1,91 @@
+# Generated 2022-08-12 from:
+# /netscratch/sagar/thesis/speechbrain/recipes/CommonVoice_de/ASR/CTC/hparams/train_with_wav2vec.yaml
+# yamllint disable
+# ################################
+# Model: wav2vec2 + DNN + CTC
+# Augmentation: SpecAugment
+# Authors: Sung-Lin Yeh 2021
+# ################################
+
+# BPE parameters
+token_type: char  # ["unigram", "bpe", "char"]
+character_coverage: 1.0
+
+# Model parameters
+# activation: !name:torch.nn.LeakyReLU
+dnn_neurons: 1024
+wav2vec_output_dim: 1024
+dropout: 0.15
+
+sample_rate: 16000
+
+wav2vec2_hub: facebook/wav2vec2-large-xlsr-53-german
+
+# Outputs
+output_neurons: 32  # BPE size, index(blank/eos/bos) = 0
+
+# Decoding parameters
+# Be sure that the bos and eos index match with the BPEs ones
+blank_index: 0
+bos_index: 1
+eos_index: 2
+
+enc: !new:speechbrain.nnet.containers.Sequential
+  input_shape: [null, null, !ref <wav2vec_output_dim>]
+  linear1: !name:speechbrain.nnet.linear.Linear
+    n_neurons: !ref <dnn_neurons>
+    bias: True
+  bn1: !name:speechbrain.nnet.normalization.BatchNorm1d
+  activation: !new:torch.nn.LeakyReLU
+  drop: !new:torch.nn.Dropout
+    p: !ref <dropout>
+  linear2: !name:speechbrain.nnet.linear.Linear
+    n_neurons: !ref <dnn_neurons>
+    bias: True
+  bn2: !name:speechbrain.nnet.normalization.BatchNorm1d
+  activation2: !new:torch.nn.LeakyReLU
+  drop2: !new:torch.nn.Dropout
+    p: !ref <dropout>
+  linear3: !name:speechbrain.nnet.linear.Linear
+    n_neurons: !ref <dnn_neurons>
+    bias: True
+  bn3: !name:speechbrain.nnet.normalization.BatchNorm1d
+  activation3: !new:torch.nn.LeakyReLU
+
+wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
+  source: !ref <wav2vec2_hub>
+  output_norm: True
+  freeze: True
+  save_path: wav2vec2_checkpoint
+
+ctc_lin: !new:speechbrain.nnet.linear.Linear
+  input_size: !ref <dnn_neurons>
+  n_neurons: !ref <output_neurons>
+
+log_softmax: !new:speechbrain.nnet.activations.Softmax
+  apply_log: True
+
+ctc_cost: !name:speechbrain.nnet.losses.ctc_loss
+  blank_index: !ref <blank_index>
+
+asr_model: !new:torch.nn.ModuleList
+    - [!ref <enc>, !ref <ctc_lin>]
+
+tokenizer: !new:sentencepiece.SentencePieceProcessor
+
+encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
+    wav2vec2: !ref <wav2vec2>
+    enc: !ref <enc>
+    ctc_lin: !ref <ctc_lin>
+
+modules:
+  encoder: !ref <encoder>
+
+decoding_function: !name:speechbrain.decoders.ctc_greedy_decode
+    blank_id: !ref <blank_index>
+
+pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
+   loadables:
+      wav2vec2: !ref <wav2vec2>
+      asr: !ref <asr_model>
+      tokenizer: !ref <tokenizer>
diff --git a/updates_pretrained_models/asr-wav2vec2-commonvoice-de/test.yaml b/updates_pretrained_models/asr-wav2vec2-commonvoice-de/test.yaml
@@ -0,0 +1,3 @@
+sample: example-de.wav
+cls: EncoderASR
+fnx: transcribe_batch
diff --git a/updates_pretrained_models/asr-wav2vec2-switchboard/hyperparams.yaml b/updates_pretrained_models/asr-wav2vec2-switchboard/hyperparams.yaml
@@ -0,0 +1,87 @@
+# ################################
+# Model: wav2vec2 + DNN + CTC
+# Augmentation: SpecAugment
+# Authors: Titouan Parcollet 2021, Dominik Wagner 2022
+# ################################
+
+wav2vec2_hub: facebook/wav2vec2-large-lv60
+sample_rate: 16000
+
+# BPE parameters
+token_type: unigram  # ["unigram", "bpe", "char"]
+character_coverage: 1.0
+
+# Model parameters
+wav2vec_output_dim: 1024
+dnn_neurons: 1024
+freeze_wav2vec: False
+dropout: 0.15
+
+# Outputs
+output_neurons: 1000  # BPE size, index(blank/eos/bos) = 0
+
+# Decoding parameters
+# Be sure that the bos and eos index match with the BPEs ones
+blank_index: 0
+bos_index: 1
+eos_index: 2
+
+enc: !new:speechbrain.nnet.containers.Sequential
+  input_shape: [null, null, !ref <wav2vec_output_dim>]
+  linear1: !name:speechbrain.nnet.linear.Linear
+    n_neurons: !ref <dnn_neurons>
+    bias: True
+  bn1: !name:speechbrain.nnet.normalization.BatchNorm1d
+  activation: !new:torch.nn.LeakyReLU
+  drop: !new:torch.nn.Dropout
+    p: !ref <dropout>
+  linear2: !name:speechbrain.nnet.linear.Linear
+    n_neurons: !ref <dnn_neurons>
+    bias: True
+  bn2: !name:speechbrain.nnet.normalization.BatchNorm1d
+  activation2: !new:torch.nn.LeakyReLU
+  drop2: !new:torch.nn.Dropout
+    p: !ref <dropout>
+  linear3: !name:speechbrain.nnet.linear.Linear
+    n_neurons: !ref <dnn_neurons>
+    bias: True
+  bn3: !name:speechbrain.nnet.normalization.BatchNorm1d
+  activation3: !new:torch.nn.LeakyReLU
+
+wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
+  source: !ref <wav2vec2_hub>
+  output_norm: True
+  freeze: !ref <freeze_wav2vec>
+  save_path: wav2vec2_checkpoint
+
+ctc_lin: !new:speechbrain.nnet.linear.Linear
+  input_size: !ref <dnn_neurons>
+  n_neurons: !ref <output_neurons>
+
+log_softmax: !new:speechbrain.nnet.activations.Softmax
+  apply_log: True
+
+ctc_cost: !name:speechbrain.nnet.losses.ctc_loss
+  blank_index: !ref <blank_index>
+
+asr_model: !new:torch.nn.ModuleList
+  - [!ref <enc>, !ref <ctc_lin>]
+
+tokenizer: !new:sentencepiece.SentencePieceProcessor
+
+encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
+  wav2vec2: !ref <wav2vec2>
+  enc: !ref <enc>
+  ctc_lin: !ref <ctc_lin>
+
+modules:
+  encoder: !ref <encoder>
+
+decoding_function: !name:speechbrain.decoders.ctc_greedy_decode
+  blank_id: !ref <blank_index>
+
+pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
+  loadables:
+    wav2vec2: !ref <wav2vec2>
+    asr: !ref <asr_model>
+    tokenizer: !ref <tokenizer>
diff --git a/updates_pretrained_models/asr-wav2vec2-switchboard/test.yaml b/updates_pretrained_models/asr-wav2vec2-switchboard/test.yaml
@@ -0,0 +1,3 @@
+sample: example.wav
+cls: EncoderASR
+fnx: transcribe_batch