add fleurs conformer+sc-ctc results

egs2/fleurs/asr1/README.md

@@ -1,4 +1,40 @@
 <!-- Generated by scripts/utils/show_asr_result.sh -->
+# Multilingual ASR - SSL + Conformer + Self-condition [XLS-R, Conformer, utt_mvn, 6500 BPE](conf/train_asr_conformer_scctc.yaml)
+
+## Environments
+- date: `Sat Oct 22 14:55:21 EDT 2022`
+- python version: `3.8.6 (default, Dec 17 2020, 16:57:01)  [GCC 10.2.0]`
+- espnet version: `espnet 202207`
+- pytorch version: `pytorch 1.8.1+cu102`
+- Git hash: `e534106b837ff6cdd29977a52983c022ff1afb0f`
+  - Commit date: `Sun Sep 11 22:31:23 2022 -0400`
+- Pretrained Model: https://huggingface.co/espnet/wanchichen_fleurs_asr_conformer_scctc
+
+## asr_train_asr_conformer_scctc_raw_all_bpe6500_sp
+
+### Language Identification
+|dataset|Accuracy|
+|---|---|
+|decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all|0.9541 (74237/77809)|
+
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all|77809|1592160|70.5|26.1|3.4|3.4|32.9|97.0|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all|77809|10235271|92.2|4.7|3.1|2.6|10.4|97.0|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all|77809|9622352|91.3|5.6|3.1|2.7|11.4|97.0|
+
 # Multilingual ASR - Self-supervised learning features [HuBERT_large_ll60k, Transformer, utt_mvn, 6500 BPE](conf/train_asr_hubert_large_ll60k_transformer.yaml)
 
 ## Environments

egs2/fleurs/asr1/conf/train_asr.yaml

@@ -1 +1 @@
-tuning/train_asr_wav2vec_960h_transformer.yaml
+tuning/train_asr_conformer_scctc.yaml

egs2/fleurs/asr1/conf/tuning/train_asr_conformer_scctc.yaml

@@ -0,0 +1,89 @@
+batch_type: numel
+batch_bins: 12000000
+accum_grad: 4
+max_epoch: 10
+patience: none
+# The initialization method for model parameters
+init: xavier_uniform
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 3
+
+encoder: conformer
+encoder_conf:
+    output_size: 512
+    attention_heads: 8
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.1
+    input_layer: conv2d2
+    normalize_before: true
+    macaron_style: true
+    pos_enc_layer_type: "rel_pos"
+    selfattention_layer_type: "rel_selfattn"
+    activation_type: "swish"
+    use_cnn_module:  true
+    cnn_module_kernel: 31
+    interctc_layer_idx: [3, 6, 9,]
+    interctc_use_conditioning: true
+
+decoder: transformer
+decoder_conf:
+    attention_heads: 8
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.1
+    src_attention_dropout_rate: 0.1
+
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    interctc_weight: 0.5
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+
+optim: adam
+optim_conf:
+    lr: 0.002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+
+freeze_param: [
+"frontend.upstream"
+]
+
+frontend: s3prl
+frontend_conf:
+    frontend_conf:
+        upstream: wav2vec2_url  # Note: If the upstream is changed, please change the input_size in the preencoder.
+        path_or_url: https://huggingface.co/s3prl/converted_ckpts/resolve/main/xlsr2_300m.pt
+    download_dir: ./hub
+    multilayer_feature: True
+
+preencoder: linear
+preencoder_conf:
+    input_size: 1024  # Note: If the upstream is changed, please change this value accordingly.
+    output_size: 80