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ESPnet2 pretrained model, kan-bayashi/csj_asr_train_asr_transformer_raw_char_sp_valid.acc.ave, fs=16k, lang=jp

kan-bayashi


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        <foaf:name>kan-bayashi</foaf:name>
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    <dct:title>ESPnet2 pretrained model, kan-bayashi/csj_asr_train_asr_transformer_raw_char_sp_valid.acc.ave, fs=16k, lang=jp</dct:title>
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    <dcat:keyword>ESPnet</dcat:keyword>
    <dcat:keyword>deep-learning</dcat:keyword>
    <dcat:keyword>python</dcat:keyword>
    <dcat:keyword>pytorch</dcat:keyword>
    <dcat:keyword>speech-recognition</dcat:keyword>
    <dcat:keyword>speech-synthesis</dcat:keyword>
    <dcat:keyword>speech-translation</dcat:keyword>
    <dcat:keyword>machine-translation</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-09-19</dct:issued>
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    <dct:description>&lt;p&gt;This model was trained by kan-bayashi using csj recipe in &lt;a href="https://github.com/espnet/espnet/"&gt;espnet&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;Python API&lt;/strong&gt; &lt;pre&gt;&lt;code class="language-python"&gt;See https://github.com/espnet/espnet_model_zoo&lt;/code&gt;&lt;/pre&gt; &lt;/li&gt; &lt;li&gt;&lt;strong&gt;Evaluate in the recipe&lt;/strong&gt; &lt;pre&gt;&lt;code class="language-bash"&gt;git clone https://github.com/espnet/espnet cd espnet git checkout 67ca53d61932e4ff3325f1ea7215eead03f300bb pip install -e . cd egs2/csj/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model kan-bayashi/csj_asr_train_asr_transformer_raw_char_sp_valid.acc.ave&lt;/code&gt; &lt;/pre&gt; &lt;/li&gt; &lt;li&gt;&lt;strong&gt;Results&lt;/strong&gt; &lt;pre&gt;&lt;code&gt; # RESULTS ## Environments - date: `Sat Sep 19 08:17:29 JST 2020` - python version: `3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0]` - espnet version: `espnet 0.8.0` - pytorch version: `pytorch 1.5.1` - Git hash: `67ca53d61932e4ff3325f1ea7215eead03f300bb` - Commit date: `Wed Sep 16 12:04:46 2020 +0900` ## asr_train_asr_transformer_raw_char_sp ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/eval1|1272|1272|49.5|50.5|0.0|0.0|50.5|50.5| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/eval2|1292|1292|49.7|50.3|0.0|0.0|50.3|50.3| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/eval3|1385|1385|67.4|32.6|0.0|0.0|32.6|32.6| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.best/eval1|1272|1272|47.6|52.4|0.0|0.0|52.4|52.4| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.best/eval2|1292|1292|50.0|50.0|0.0|0.0|50.0|50.0| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.best/eval3|1385|1385|65.7|34.3|0.0|0.0|34.3|34.3| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/eval1|1272|43897|95.9|2.5|1.6|0.8|4.9|50.5| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/eval2|1292|43623|96.9|2.0|1.0|0.6|3.7|50.3| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/eval3|1385|28225|96.8|2.1|1.1|0.7|3.9|32.6| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.best/eval1|1272|43897|95.6|2.6|1.7|0.8|5.2|52.4| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.best/eval2|1292|43623|96.7|2.1|1.2|0.6|3.9|50.0| |decode_asr_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.best/eval3|1385|28225|96.5|2.1|1.3|0.7|4.1|34.3|&lt;/code&gt;&lt;/pre&gt; &lt;/li&gt; &lt;li&gt;&lt;strong&gt;ASR config&lt;/strong&gt; &lt;pre&gt;&lt;code&gt;config: conf/tuning/train_asr_transformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_transformer_raw_char_sp ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 4 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 59623 dist_launcher: null multiprocessing_distributed: true cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 100 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 grad_clip: 5.0 grad_clip_type: 2.0 grad_noise: false accum_grad: 6 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null pretrain_path: [] pretrain_key: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 15000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_sp/train/speech_shape - exp/asr_stats_raw_sp/train/text_shape.char valid_shape_file: - exp/asr_stats_raw_sp/valid/speech_shape - exp/asr_stats_raw_sp/valid/text_shape.char batch_type: numel valid_batch_type: null fold_length: - 80000 - 150 sort_in_batch: descending sort_batch: descending multiple_iterator: false chunk_length: 500 chunk_shift_ratio: 0.5 num_cache_chunks: 1024 train_data_path_and_name_and_type: - - dump/raw/train_nodup_sp/wav.scp - speech - sound - - dump/raw/train_nodup_sp/text - text - text valid_data_path_and_name_and_type: - - dump/raw/train_dev/wav.scp - speech - sound - - dump/raw/train_dev/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 valid_max_cache_size: null optim: adam optim_conf: lr: 0.002 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - "\u306E" - "\u3044" - "\u3067" - "\u3068" - "\u30FC" - "\u3066" - "\u3046" - "\u307E" - "\u3059" - "\u3057" - "\u306B" - "\u3063" - "\u306A" - "\u3048" - "\u305F" - "\u3053" - "\u304C" - "\u304B" - "\u306F" - "\u308B" - "\u3042" - "\u3093" - "\u308C" - "\u3082" - "\u3092" - "\u305D" - "\u308A" - "\u3089" - "\u3051" - "\u304F" - "\u3069" - "\u3088" - "\u304D" - "\u3060" - "\u304A" - "\u30F3" - "\u306D" - "\u4E00" - "\u3055" - "\u30B9" - "\u8A00" - "\u3061" - "\u3064" - "\u5206" - "\u30C8" - "\u3084" - "\u4EBA" - "\u30EB" - "\u601D" - "\u308F" - "\u6642" - "\u65B9" - "\u3058" - "\u30A4" - "\u884C" - "\u4F55" - "\u307F" - "\u5341" - "\u30E9" - "\u4E8C" - "\u672C" - "\u8A9E" - "\u5927" - "\u7684" - "\u30AF" - "\u30BF" - "\u308D" - "\u3070" - "\u3087" - "\u3083" - "\u97F3" - "\u51FA" - "\u305B" - "\u30C3" - "\u5408" - "\u65E5" - "\u4E2D" - "\u751F" - "\u4ECA" - "\u898B" - "\u30EA" - "\u9593" - "\u8A71" - "\u3081" - "\u30A2" - "\u5F8C" - "\u81EA" - "\u305A" - "\u79C1" - "\u30C6" - "\u4E0A" - "\u5E74" - "\u5B66" - "\u4E09" - "\u30B7" - "\u5834" - "\u30C7" - "\u5B9F" - "\u5B50" - "\u4F53" - "\u8003" - "\u5BFE" - "\u7528" - "\u6587" - "\u30D1" - "\u5F53" - "\u7D50" - "\u5EA6" - "\u5165" - "\u8A33" - "\u30D5" - "\u98A8" - "\u30E0" - "\u30D7" - "\u6700" - "\u30C9" - "\u30EC" - "\u30ED" - "\u4F5C" - "\u6570" - "\u76EE" - "\u30B8" - "\u95A2" - "\u30B0" - "\u767A" - "\u8005" - "\u5B9A" - "\u3005" - "\u3050" - "\u30B3" - "\u4E8B" - "\u624B" - "\u5168" - "\u5909" - "\u30DE" - "\u6027" - "\u8868" - "\u4F8B" - "\u52D5" - "\u8981" - "\u5148" - "\u524D" - "\u610F" - "\u90E8" - "\u4F1A" - "\u6301" - "\u30E1" - "\u5316" - "\u9054" - "\u4ED8" - "\u5F62" - "\u73FE" - "\u4E94" - "\u30AB" - "\u3079" - "\u53D6" - "\u56DE" - "\u5E38" - "\u4F7F" - "\u611F" - "\u66F8" - "\u6C17" - "\u6CD5" - "\u7A0B" - "\u3071" - "\u56DB" - "\u591A" - "\u8272" - "\u30BB" - "\u7406" - "\u975E" - "\u30D0" - "\u58F0" - "\u5358" - "\u756A" - "\uFF21" - "\u6210" - "\u540C" - "\u901A" - "\u30A3" - "\u679C" - "\u30AD" - "\u554F" - "\u984C" - "\u69CB" - "\u56FD" - "\u6765" - "\u9AD8" - "\u6B21" - "\u9A13" - "\u3052" - "\u30C1" - "\u4EE5" - "\u3054" - "\u4EE3" - "\u30E2" - "\u30AA" - "\u51C4" - "\u7279" - "\u77E5" - "\u30E5" - "\u7269" - "\u660E" - "\u70B9" - "\u5473" - "\u767E" - "\u89E3" - "\u8FD1" - "\u8B58" - "\u5730" - "\u540D" - "\u805E" - "\u4E0B" - "\u5C0F" - "\u6559" - "\u30B5" - "\u70BA" - "\u4E5D" - "\u30D6" - "\u5BB6" - "\u30CB" - "\u521D" - "\u30D9" - "\u30E7" - "\u5C11" - "\u8A8D" - "\u8AD6" - "\u529B" - "\u516D" - "\u30D3" - "\u60C5" - "\u7FD2" - "\u30A6" - "\u7ACB" - "\u5FC3" - "\u8ABF" - "\u5831" - "\u30A8" - "\uFF24" - "\uFF2E" - "\u793A" - "\u793E" - "\u9055" - "\u969B" - "\u3056" - "\u8AAC" - "\u5FDC" - "\u98DF" - "\u72B6" - "\u9577" - "\u7814" - "\u6821" - "\u5185" - "\u639B" - "\u30DF" - "\u5916" - "\u5411" - "\u80FD" - "\u516B" - "\u9762" - "\u7A76" - "\u7136" - "\u3073" - "\u30D4" - "\u4E3B" - "\u4FC2" - "\u5024" - "\u91CD" - "\u8A5E" - "\u4F9B" - "\u5F97" - "\u5FC5" - "\u5973" - "\u78BA" - "\u7D42" - "\u30BA" - "\u6BCD" - "\u696D" - "\u7387" - "\u65B0" - "\u6D3B" - "\u697D" - "\u8449" - "\u8A08" - "\u30CA" - "\u3080" - "\u6240" - "\u4E16" - "\u6B63" - "\u30E3" - "\u8A18" - "\u671F" - "\u5207" - "\u3078" - "\u6A5F" - "\u30DA" - "\u5343" - "\u985E" - "\u5143" - "\u614B" - "\u826F" - "\u5728" - "\u6709" - "\u30C0" - "\u4E03" - "\uFF23" - "\u5225" - "\u30EF" - "\u691C" - "\u7D9A" - "\u9078" - "\u57FA" - "\u76F8" - "\u6708" - "\u4FA1" - "\u7D20" - "\u4ED6" - "\u6BD4" - "\u9023" - "\u96C6" - "\u30A7" - "\u307B" - "\u4F4D" - "\u597D" - "\uFF2D" - "\u5F37" - "\u4E0D" - "\u5FA1" - "\u6790" - "\u30DD" - "\u7121" - "\u89AA" - "\u53D7" - "\u3086" - "\u7F6E" - "\u8C61" - "\u4ED5" - "\u5F0F" - "\u30CD" - "\u6307" - "\u8AAD" - "\u6C7A" - "\u8ECA" - "\u96FB" - "\u904E" - "\u30B1" - "\u8A55" - "\u5229" - "\u6B8B" - "\u8D77" - "\u30CE" - "\u7D4C" - "\u56F3" - "\u4F1D" - "\u500B" - "\u30C4" - "\u7BC0" - "\u9053" - "\u5E73" - "\u91D1" - "\u899A" - "\uFF34" - "\u4F4F" - "\u59CB" - "\u63D0" - "\u5B58" - "\u5171" - "\u30DB" - "\u7B2C" - "\u7D44" - "\u89B3" - "\u80B2" - "\u6771" - "\u305E" - "\u958B" - "\u52A0" - "\u5F15" - "\uFF33" - "\u53E3" - "\u6C34" - "\u5BB9" - "\u5468" - "\u5B87" - "\u7D04" - "\u5B57" - "\u3076" - "\u9803" - "\u3072" - "\u5B99" - "\u6BB5" - "\u30BD" - "\u97FF" - "\u30DC" - "\u53CB" - "\u91CF" - "\u6599" - "\u3085" - "\u5CF6" - "\u8EAB" - "\u76F4" - "\u753B" - "\u7DDA" - "\u54C1" - "\u5DEE" - "\u4EF6" - "\u9069" - "\u5F35" - "\u8FBA" - "\u8FBC" - "\u91CE" - "\u69D8" - "\u578B" - "\u4E88" - "\u7A2E" - "\u5074" - "\u8FF0" - "\u5C71" - "\u5C4B" - "\u5E30" - "\u30CF" - "\u4E57" - "\u539F" - "\u683C" - "\u8CEA" - "\u666E" - "\uFF30" - "\u9020" - "\u753A" - "\u30B4" - "\u82F1" - "\u63A5" - "\u304E" - "\u6E2C" - "\u3075" - "\u7FA9" - "\u4EAC" - "\u5272" - "\u5236" - "\u7B54" - "\u5404" - "\u4FE1" - "\u754C" - "\u6211" - "\u7A7A" - "\uFF0E" - "\u7740" - "\u53EF" - "\u66F4" - "\u6D77" - "\u4E0E" - "\u9032" - "\u52B9" - "\u5F7C" - "\u771F" - "\u7530" - "\u5FB4" - "\u6D41" - "\u5177" - "\uFF32" - "\u5E02" - "\u67FB" - "\u5B89" - "\uFF22" - "\u5E83" - "\u50D5" - "\u6CE2" - "\u5C40" - "\u8A2D" - "\u7537" - "\u767D" - "\u30B6" - "\u53CD" - "\u6226" - "\u533A" - "\u6C42" - "\u96D1" - "\uFF29" - "\u6B69" - "\u8CB7" - "\u982D" - "\u7B97" - "\u534A" - "\u4FDD" - "\u5E03" - "\u96E3" - "\uFF2C" - "\u5224" - "\u843D" - "\u8DB3" - "\u5E97" - "\u7533" - "\u8FD4" - "\u30AE" - "\u4E07" - "\u6728" - "\u6614" - "\u8F03" - "\u7D22" - "\uFF26" - "\u30B2" - "\u6B86" - "\u60AA" - "\u5883" - "\u548C" - "\u907A" - "\u57DF" - "\u968E" - "\u542B" - "\u305C" - "\u30BC" - "\u65AD" - "\u9650" - "\u63A8" - "\u4F4E" - "\u5F71" - "\u898F" - "\u6319" - "\u90FD" - "\u307C" - "\u6848" - "\u4EEE" - 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