From 580b11b57ac4b62f7e2acda73813a4e10e8e4cd3 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 10 十月 2023 17:17:29 +0800
Subject: [PATCH] v0.8.0

---
 egs/aishell/rnnt/conf/train_conformer_rnnt_unified.yaml |   81 ++++++++++++++++++++++++----------------
 1 files changed, 48 insertions(+), 33 deletions(-)

diff --git a/egs/aishell/rnnt/conf/train_conformer_rnnt_unified.yaml b/egs/aishell/rnnt/conf/train_conformer_rnnt_unified.yaml
index ef37b97..a1f27a3 100644
--- a/egs/aishell/rnnt/conf/train_conformer_rnnt_unified.yaml
+++ b/egs/aishell/rnnt/conf/train_conformer_rnnt_unified.yaml
@@ -1,54 +1,57 @@
+encoder: chunk_conformer
 encoder_conf:
-    main_conf:
-      pos_wise_act_type: swish
-      pos_enc_dropout_rate: 0.3
-      conv_mod_act_type: swish
+      activation_type: swish
+      positional_dropout_rate: 0.5
       time_reduction_factor: 2
       unified_model_training: true
       default_chunk_size: 16
       jitter_range: 4
       left_chunk_size: 1
-    input_conf:
-      block_type: conv2d
-      conv_size: 512
+      embed_vgg_like: false
       subsampling_factor: 4
-      num_frame: 1
-    body_conf:
-    - block_type: conformer
-      linear_size: 2048
-      hidden_size: 512
-      heads: 8
-      dropout_rate: 0.3
-      pos_wise_dropout_rate: 0.3
-      att_dropout_rate: 0.3
-      conv_mod_kernel_size: 15
+      linear_units: 2048
+      output_size: 512
+      attention_heads: 8
+      dropout_rate: 0.5
+      positional_dropout_rate: 0.5
+      attention_dropout_rate: 0.5
+      cnn_module_kernel: 15
       num_blocks: 12    
 
 # decoder related
-decoder: rnn
-decoder_conf:
+rnnt_decoder: rnnt
+rnnt_decoder_conf:
     embed_size: 512
     hidden_size: 512
-    embed_dropout_rate: 0.2
-    dropout_rate: 0.1
-
+    embed_dropout_rate: 0.5
+    dropout_rate: 0.5
 joint_network_conf:
     joint_space_size: 512
 
+# frontend related
+frontend: wav_frontend
+frontend_conf:
+    fs: 16000
+    window: hamming
+    n_mels: 80
+    frame_length: 25
+    frame_shift: 10
+    lfr_m: 1
+    lfr_n: 1
+
+
 # Auxiliary CTC
+model: rnnt_unified
 model_conf:
     auxiliary_ctc_weight: 0.0
 
 # minibatch related
 use_amp: true
-batch_type: numel
-batch_bins: 1600000
-num_workers: 16
 
 # optimization related
 accum_grad: 1
 grad_clip: 5
-max_epoch: 80
+max_epoch: 120
 val_scheduler_criterion:
     - valid
     - loss
@@ -56,16 +59,14 @@
 -   - valid
     - cer_transducer_chunk
     - min
-keep_nbest_models: 5
+keep_nbest_models: 10
 
 optim: adam
 optim_conf:
-   lr: 0.0003
+   lr: 0.001
 scheduler: warmuplr
 scheduler_conf:
    warmup_steps: 25000
-
-normalize: None
 
 specaug: specaug
 specaug_conf:
@@ -75,10 +76,24 @@
     apply_freq_mask: true
     freq_mask_width_range:
     - 0
-    - 30
+    - 40
     num_freq_mask: 2
     apply_time_mask: true
     time_mask_width_range:
     - 0
-    - 40
-    num_time_mask: 2
+    - 50
+    num_time_mask: 5
+
+dataset_conf:
+    data_names: speech,text
+    data_types: sound,text
+    shuffle: True
+    shuffle_conf:
+        shuffle_size: 2048
+        sort_size: 500
+    batch_conf:
+        batch_type: token
+        batch_size: 16000
+    num_workers: 8
+
+log_interval: 50

--
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