Add scores for FastConformer models (#6557)

Signed-off-by: smajumdar <titu1994@gmail.com>

docs/source/asr/data/scores/by/fastconformer_by.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set v12.0 (be),MCV Test-Set v12.0 (be)
+stt_by_fastconformer_hybrid_large_pc,by,2.7 %,2.7 %

docs/source/asr/data/scores/de/citrinet_de.csv

@@ -1,2 +1,2 @@
-Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v7.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
-stt_de_citrinet_1024,de,,6.63,7.59,4.06,5.07,12.33,10.02
+Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v12.0 (de),MCV Dev-Set v7.0 (de),MCV Test-Set v12.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
+stt_de_citrinet_1024,de,,,6.63,,7.59,4.06,5.07,12.33,10.02

docs/source/asr/data/scores/de/conformer_de.csv

@@ -1,3 +1,3 @@
-Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v7.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
-stt_de_conformer_ctc_large,de,,5.84,6.68,3.85,4.63,12.56,10.51
-stt_de_conformer_transducer_large,de,,4.75,5.36,3.46,4.19,11.21,9.14
+Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v12.0 (de),MCV Dev-Set v7.0 (de),MCV Test-Set v12.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
+stt_de_conformer_ctc_large,de,,,5.84,,6.68,3.85,4.63,12.56,10.51
+stt_de_conformer_transducer_large,de,,,4.75,,5.36,3.46,4.19,11.21,9.14

docs/source/asr/data/scores/de/contextnet_de.csv

@@ -1,2 +1,2 @@
-Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v7.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
-stt_de_contextnet_1024,de,,4.76,5.5,3.53,4.2,11.32,9.4
+Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v12.0 (de),MCV Dev-Set v7.0 (de),MCV Test-Set v12.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
+stt_de_contextnet_1024,de,,,4.76,,5.5,3.53,4.2,11.32,9.4

docs/source/asr/data/scores/de/fastconformer_de.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v12.0 (de),MCV Dev-Set v7.0 (de),MCV Test-Set v12.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
+stt_de_fastconformer_hybrid_large_pc,de,,4.2 %,,4.9 %,,3.3 %,3.8 %,10.8 %,8.7 %

docs/source/asr/data/scores/de/quartznet15x5_de.csv

@@ -1,2 +1,2 @@
-Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v7.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
-stt_de_quartznet15x5,de,11.78,,,,,,
+Model Name,Language,MCV Dev-Set (v??) (de),MCV Dev-Set v12.0 (de),MCV Dev-Set v7.0 (de),MCV Test-Set v12.0 (de),MCV Test-Set v7.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
+stt_de_quartznet15x5,de,11.78,,,,,,,,

docs/source/asr/data/scores/en/citrinet_en.csv

@@ -1,7 +1,7 @@
-Model Name,Language,Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,WSJ Dev 93,WSJ Eval 92
-stt_en_citrinet_256,en,4.2 % WER,10.7 % WER,4.4 % WER,10.7 % WER,,,,,,,,,
-stt_en_citrinet_512,en,3.7 % WER,8.9 % WER,3.7 % WER,8.9 % WER,,,,,,,,,
-stt_en_citrinet_1024,en,3.7 % WER,8.3 % WER,3.6 % WER,7.9 % WER,,,,,,,,,
-stt_en_citrinet_256_gamma_0_25,en,4.7 %,10.6 %,4.8 %,10.7 %,,,,8.3 %,,,,5.8 %,3.6 %
-stt_en_citrinet_512_gamma_0_25,en,4.0 %,9.0 %,3.9 %,9.0 %,,,,6.9 %,,,,4.4 %,3.6 %
-stt_en_citrinet_1024_gamma_0_25,en,3.4 %,7.7 %,3.4 %,7.6 %,,,,6.2 %,,,,4.0 %,2.5 %
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_citrinet_256,en,,,4.2 % WER,10.7 % WER,4.4 % WER,10.7 % WER,,,,,,,,,,,,
+stt_en_citrinet_512,en,,,3.7 % WER,8.9 % WER,3.7 % WER,8.9 % WER,,,,,,,,,,,,
+stt_en_citrinet_1024,en,,,3.7 % WER,8.3 % WER,3.6 % WER,7.9 % WER,,,,,,,,,,,,
+stt_en_citrinet_256_gamma_0_25,en,,,4.7 %,10.6 %,4.8 %,10.7 %,,,,,8.3 %,,,,,,5.8 %,3.6 %
+stt_en_citrinet_512_gamma_0_25,en,,,4.0 %,9.0 %,3.9 %,9.0 %,,,,,6.9 %,,,,,,4.4 %,3.6 %
+stt_en_citrinet_1024_gamma_0_25,en,,,3.4 %,7.7 %,3.4 %,7.6 %,,,,,6.2 %,,,,,,4.0 %,2.5 %

docs/source/asr/data/scores/en/conformer_en.csv

@@ -1,14 +1,14 @@
-Model Name,Language,Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,WSJ Dev 93,WSJ Eval 92
-stt_en_conformer_ctc_small,en,3.6,8.1,3.7,8.1,,,,,,,,,
-stt_en_conformer_ctc_medium,en,2.5,5.8,2.6,5.9,,,,,,,,,
-stt_en_conformer_ctc_large,en,1.9,4.4,2.1,4.5,,,,,,,,,
-stt_en_conformer_ctc_xlarge,en,1.77 %,3.79 %,2.00 %,3.74 %,7.88 %,,5.99 %,,6.44 %,22.90 %,5.50 %,2.36 %,
-stt_en_conformer_ctc_small_ls,en,3.3,8.8,3.4,8.8,,,,,,,,,
-stt_en_conformer_ctc_medium_ls,en,2.7,7.4,3.0,7.3,,,,,,,,,
-stt_en_conformer_ctc_large_ls,en,2.4,6.2,2.7,6.0,,,,,,,,,
-stt_en_conformer_transducer_small,en,2.8,6.6,2.5,6.6,,,,,,,,,
-stt_en_conformer_transducer_medium,en,2.0,4.6,2.1,4.7,,,,,,,,,
-stt_en_conformer_transducer_large,en,1.6,3.5,1.7,3.7,,,,,,,,,
-stt_en_conformer_transducer_large_ls,en,2.1,5.0,2.3,5.1,,,,,,,,,
-stt_en_conformer_transducer_xlarge,en,1.48 %,2.95 %,1.62 %,3.01 %,6.46 %,4.59 %,5.32 %,5.70 %,6.47 %,21.32 %,,2.05 %,1.17 %
-stt_en_conformer_transducer_xxlarge,en,1.52 %,3.09 %,1.72 %,3.14 %,,5.29 %,5.85 %,6.64 %,,,,2.42 %,1.49 %
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_conformer_ctc_small,en,,,3.6,8.1,3.7,8.1,,,,,,,,,,,,
+stt_en_conformer_ctc_medium,en,,,2.5,5.8,2.6,5.9,,,,,,,,,,,,
+stt_en_conformer_ctc_large,en,,,1.9,4.4,2.1,4.5,,,,,,,,,,,,
+stt_en_conformer_ctc_xlarge,en,,,1.77 %,3.79 %,2.00 %,3.74 %,,7.88 %,,5.99 %,,6.44 %,22.90 %,5.50 %,,,2.36 %,
+stt_en_conformer_ctc_small_ls,en,,,3.3,8.8,3.4,8.8,,,,,,,,,,,,
+stt_en_conformer_ctc_medium_ls,en,,,2.7,7.4,3.0,7.3,,,,,,,,,,,,
+stt_en_conformer_ctc_large_ls,en,,,2.4,6.2,2.7,6.0,,,,,,,,,,,,
+stt_en_conformer_transducer_small,en,,,2.8,6.6,2.5,6.6,,,,,,,,,,,,
+stt_en_conformer_transducer_medium,en,,,2.0,4.6,2.1,4.7,,,,,,,,,,,,
+stt_en_conformer_transducer_large,en,,,1.6,3.5,1.7,3.7,,,,,,,,,,,,
+stt_en_conformer_transducer_large_ls,en,,,2.1,5.0,2.3,5.1,,,,,,,,,,,,
+stt_en_conformer_transducer_xlarge,en,,,1.48 %,2.95 %,1.62 %,3.01 %,,6.46 %,4.59 %,5.32 %,5.70 %,6.47 %,21.32 %,,,,2.05 %,1.17 %
+stt_en_conformer_transducer_xxlarge,en,,,1.52 %,3.09 %,1.72 %,3.14 %,,,5.29 %,5.85 %,6.64 %,,,,,,2.42 %,1.49 %

docs/source/asr/data/scores/en/contextnet_en.csv

@@ -1,7 +1,7 @@
-Model Name,Language,Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,WSJ Dev 93,WSJ Eval 92
-stt_en_contextnet_256,en,3.3 %,7.9 %,3.3 %,8.0 %,,9.7 %,11.0 %,7.1 %,,,,4.6 %,3.2 %
-stt_en_contextnet_512,en,2.0 %,4.8 %,2.2 %,5.0 %,,6.6 %,7.3 %,5.9 %,,,,2.8 %,1.4 %
-stt_en_contextnet_1024,en,1.7 %,3.8 %,1.9 %,4.0 %,7.9 %,,5.9 %,5.2 %,6.5 %,21.7 %,4.7 %,2.3 %,1.3 %
-stt_en_contextnet_256_mls,en,,9.0 %,,9.2 %,,9.4 %,10.9 %,,,,,,
-stt_en_contextnet_512_mls,en,,5.2 %,,5.2 %,,5.6 %,6.6 %,,,,,,
-stt_en_contextnet_1024_mls,en,,4.1 %,,4.2 %,,4.6 %,5.6 %,,,,,,
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_contextnet_256,en,,,3.3 %,7.9 %,3.3 %,8.0 %,,,9.7 %,11.0 %,7.1 %,,,,,,4.6 %,3.2 %
+stt_en_contextnet_512,en,,,2.0 %,4.8 %,2.2 %,5.0 %,,,6.6 %,7.3 %,5.9 %,,,,,,2.8 %,1.4 %
+stt_en_contextnet_1024,en,,,1.7 %,3.8 %,1.9 %,4.0 %,,7.9 %,,5.9 %,5.2 %,6.5 %,21.7 %,4.7 %,,,2.3 %,1.3 %
+stt_en_contextnet_256_mls,en,,,,9.0 %,,9.2 %,,,9.4 %,10.9 %,,,,,,,,
+stt_en_contextnet_512_mls,en,,,,5.2 %,,5.2 %,,,5.6 %,6.6 %,,,,,,,,
+stt_en_contextnet_1024_mls,en,,,,4.1 %,,4.2 %,,,4.6 %,5.6 %,,,,,,,,

docs/source/asr/data/scores/en/fastconformer_en.csv

@@ -0,0 +1,4 @@
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_fastconformer_ctc_large,en,,,1.9,4.2,2.1,4.2,,,,,,,,,,,,
+stt_en_fastconformer_transducer_large,en,,,2.0,3.8,1.8,3.8,,,,,,,,,,,,
+stt_en_fastconformer_hybrid_large_pc,en,8.0 %,10.3 %,,,2.0 %,4.1 %,8.2 %,,,4.5 %,4.6 %,,,,2.3 %,4.5 %,,

docs/source/asr/data/scores/en/jasper10x5dr_en.csv

@@ -1,2 +1,2 @@
-Model Name,Language,Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,WSJ Dev 93,WSJ Eval 92
-stt_en_jasper10x5dr,en,3.74,10.21,,,,,,,,,,,
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_jasper10x5dr,en,,,3.74,10.21,,,,,,,,,,,,,,

docs/source/asr/data/scores/en/quartznet15x5_en.csv

@@ -1,2 +1,2 @@
-Model Name,Language,Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,WSJ Dev 93,WSJ Eval 92
-stt_en_quartznet15x5,en,4.38,11.3,,,,,,,,,,,
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_quartznet15x5,en,,,4.38,11.3,,,,,,,,,,,,,,

docs/source/asr/data/scores/en/squeezeformer_en.csv

@@ -1,7 +1,7 @@
-Model Name,Language,Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,WSJ Dev 93,WSJ Eval 92
-stt_en_squeezeformer_ctc_xsmall_ls,en,3.6 %,9.7 %,3.8 %,9.4 %,,,,,,,,,
-stt_en_squeezeformer_ctc_small_ls,en,2.9 %,7.4 %,3.1 %,7.4 %,,,,,,,,,
-stt_en_squeezeformer_ctc_small_medium_ls,en,2.7 %,7.0 %,2.8 %,7.1 %,,,,,,,,,
-stt_en_squeezeformer_ctc_medium_ls,en,2.4 %,6.2 %,2.6 %,6.3 %,,,,,,,,,
-stt_en_squeezeformer_ctc_medium_large_ls,en,2.3 %,6.0 %,2.5 %,5.9 %,,,,,,,,,
-stt_en_squeezeformer_ctc_large_ls,en,2.3 %,5.7 %,2.4 %,5.7 %,,,,,,,,,
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Dev-Clean,Librispeech Dev-Other,Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MCV Test-Set v8.0 (en),MLS Dev (en),MLS Test (en),NSC Part1,NSC Part6,Peoples Speech Test v1,SLR 83 Test,SPGI Test,VoxPopuli Test (en),WSJ Dev 93,WSJ Eval 92
+stt_en_squeezeformer_ctc_xsmall_ls,en,,,3.6 %,9.7 %,3.8 %,9.4 %,,,,,,,,,,,,
+stt_en_squeezeformer_ctc_small_ls,en,,,2.9 %,7.4 %,3.1 %,7.4 %,,,,,,,,,,,,
+stt_en_squeezeformer_ctc_small_medium_ls,en,,,2.7 %,7.0 %,2.8 %,7.1 %,,,,,,,,,,,,
+stt_en_squeezeformer_ctc_medium_ls,en,,,2.4 %,6.2 %,2.6 %,6.3 %,,,,,,,,,,,,
+stt_en_squeezeformer_ctc_medium_large_ls,en,,,2.3 %,6.0 %,2.5 %,5.9 %,,,,,,,,,,,,
+stt_en_squeezeformer_ctc_large_ls,en,,,2.3 %,5.7 %,2.4 %,5.7 %,,,,,,,,,,,,

docs/source/asr/data/scores/es/citrinet_es.csv

@@ -1,3 +1,3 @@
-Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
-stt_es_citrinet_512,es,,,,,,9.1 % WER,,10.3 % WER,,4.9 % WER,5.2 % WER,,
-stt_es_citrinet_1024_gamma_0_25,es,19.9 %,21.3 %,19.1 %,15.8 %,15.9 %,,6.1 %,,6.8 %,3.5 %,4.1 %,5.6 %,7.0 %
+Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v12.0 (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v12.0 (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
+stt_es_citrinet_512,es,,,,,,9.1 % WER,,,10.3 % WER,,,4.9 % WER,5.2 % WER,,
+stt_es_citrinet_1024_gamma_0_25,es,19.9 %,21.3 %,19.1 %,15.8 %,15.9 %,,,6.1 %,,,6.8 %,3.5 %,4.1 %,5.6 %,7.0 %

docs/source/asr/data/scores/es/conformer_es.csv

@@ -1,3 +1,3 @@
-Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
-stt_es_conformer_ctc_large,es,23.7 %,25.3 %,22.4 %,18.3 %,18.5 %,,6.3 %,,6.9 %,4.3 %,4.2 %,6.1 %,7.5 %
-stt_es_conformer_transducer_large,es,18.0 %,19.4 %,17.2 %,14.7 %,14.8 %,,4.6 %,,5.2 %,2.7 %,3.2 %,4.7 %,6.0 %
+Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v12.0 (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v12.0 (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
+stt_es_conformer_ctc_large,es,23.7 %,25.3 %,22.4 %,18.3 %,18.5 %,,,6.3 %,,,6.9 %,4.3 %,4.2 %,6.1 %,7.5 %
+stt_es_conformer_transducer_large,es,18.0 %,19.4 %,17.2 %,14.7 %,14.8 %,,,4.6 %,,,5.2 %,2.7 %,3.2 %,4.7 %,6.0 %

docs/source/asr/data/scores/es/contextnet_es.csv

@@ -1,2 +1,2 @@
-Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
-stt_es_contextnet_1024,es,19.1 %,20.7 %,18.2 %,15.3 %,15.1 %,,4.8 %,,5.2 %,3.1 %,3.5 %,5.1 %,6.2 %
+Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v12.0 (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v12.0 (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
+stt_es_contextnet_1024,es,19.1 %,20.7 %,18.2 %,15.3 %,15.1 %,,,4.8 %,,,5.2 %,3.1 %,3.5 %,5.1 %,6.2 %

docs/source/asr/data/scores/es/fastconformer_es.csv

@@ -0,0 +1,2 @@
+Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v12.0 (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v12.0 (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
+stt_es_fastconformer_hybrid_large_pc,es,,,,29.4 %,28.9 %,,7.1 %,,,7.5 %,,10.6 %,11.8 %,8.6 %,9.8 %

docs/source/asr/data/scores/es/quartznet15x5_es.csv

@@ -1,2 +1,2 @@
-Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
-stt_es_quartznet15x5,es,,,,,,12.97,,,,,,,
+Model Name,Language,Call Home Dev Test (es),Call Home Eval Test (es),Call Home Train (es),Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set (v??) (es),MCV Dev-Set v12.0 (es),MCV Dev-Set v7.0 (es),MCV Test-Set (v??) (es),MCV Test-Set v12.0 (es),MCV Test-Set v7.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
+stt_es_quartznet15x5,es,,,,,,12.97,,,,,,,,,

docs/source/asr/data/scores/hr/conformer_hr.csv

@@ -1,3 +1,3 @@
-Model Name,Language,ParlaSpeech Dev-Set v1.0 (hr),ParlaSpeech Test-Set v1.0 (hr)
-stt_hr_conformer_ctc_large,hr,4.43,4.70
-stt_hr_conformer_transducer_large,hr,4.56,4.69
+Model Name,Language,ParlaSpeech Dev-Set v1.0 (hr),ParlaSpeech Test-Set v1.0 (hr),Parlaspeech Dev-Set (v??) (hr),Parlaspeech Test-Set (v??) (hr)
+stt_hr_conformer_ctc_large,hr,4.43,4.70,,
+stt_hr_conformer_transducer_large,hr,4.56,4.69,,

docs/source/asr/data/scores/hr/fastconformer_hr.csv

@@ -0,0 +1,2 @@
+Model Name,Language,ParlaSpeech Dev-Set v1.0 (hr),ParlaSpeech Test-Set v1.0 (hr),Parlaspeech Dev-Set (v??) (hr),Parlaspeech Test-Set (v??) (hr)
+stt_hr_fastconformer_hybrid_large_pc,hr,,,4.5 %,4.2 %

docs/source/asr/data/scores/it/conformer_it.csv

@@ -1,3 +1,3 @@
-Model Name,Language,MCV Dev-Set (v??) (it),MCV Dev-Set v11.0 (it),MCV Test-Set v11.0 (it),MLS Dev (en),MLS Test (en),VoxPopuli Dev (it),VoxPopuli Test (it)
-stt_it_conformer_ctc_large,it,,5.38,5.92,13.16,10.62,13.43,16.75
-stt_it_conformer_transducer_large,it,,4.80,5.24,14.62,12.18,12.00,15.15
+Model Name,Language,MCV Dev-Set (v??) (it),MCV Dev-Set v11.0 (it),MCV Dev-Set v12.0 (it),MCV Test-Set v11.0 (it),MCV Test-Set v12.0 (it),MLS Dev (en),MLS Test (en),VoxPopuli Dev (it),VoxPopuli Test (it)
+stt_it_conformer_ctc_large,it,,5.38,,5.92,,13.16,10.62,13.43,16.75
+stt_it_conformer_transducer_large,it,,4.80,,5.24,,14.62,12.18,12.00,15.15

docs/source/asr/data/scores/it/fastconformer_it.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set (v??) (it),MCV Dev-Set v11.0 (it),MCV Dev-Set v12.0 (it),MCV Test-Set v11.0 (it),MCV Test-Set v12.0 (it),MLS Dev (en),MLS Test (en),VoxPopuli Dev (it),VoxPopuli Test (it)
+stt_it_fastconformer_hybrid_large_pc,it,,,5.2 %,,5.8 %,13.6 %,11.5 %,12.7 %,15.6 %

docs/source/asr/data/scores/it/quartznet15x5_it.csv

@@ -1,2 +1,2 @@
-Model Name,Language,MCV Dev-Set (v??) (it),MCV Dev-Set v11.0 (it),MCV Test-Set v11.0 (it),MLS Dev (en),MLS Test (en),VoxPopuli Dev (it),VoxPopuli Test (it)
-stt_it_quartznet15x5,it,15.22,,,,,,
+Model Name,Language,MCV Dev-Set (v??) (it),MCV Dev-Set v11.0 (it),MCV Dev-Set v12.0 (it),MCV Test-Set v11.0 (it),MCV Test-Set v12.0 (it),MLS Dev (en),MLS Test (en),VoxPopuli Dev (it),VoxPopuli Test (it)
+stt_it_quartznet15x5,it,15.22,,,,,,,,

docs/source/asr/data/scores/pl/fastconformer_pl.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set (v??) (pl),MCV Dev-Set v12.0 (pl),MCV Test-Set v12.0 (pl),MLS Dev (en),MLS Test (en),VoxPopuli Dev (pl),VoxPopuli Test (pl)
+stt_pl_fastconformer_hybrid_large_pc,pl,,6.0 %,8.7 %,7.1 %,5.8 %,11.3 %,8.5 %

docs/source/asr/data/scores/pl/quartznet15x5_pl.csv

@@ -1,2 +1,2 @@
-Model Name,Language,MCV Dev-Set (v??) (pl)
-stt_pl_quartznet15x5,pl,14
+Model Name,Language,MCV Dev-Set (v??) (pl),MCV Dev-Set v12.0 (pl),MCV Test-Set v12.0 (pl),MLS Dev (en),MLS Test (en),VoxPopuli Dev (pl),VoxPopuli Test (pl)
+stt_pl_quartznet15x5,pl,14,,,,,,

docs/source/asr/data/scores/ua/fastconformer_ua.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Test-Set v12.0 (ua)
+stt_ua_fastconformer_hybrid_large_pc,ua,5.2 %

docs/source/asr/data/scores_pc/by/fastconformer_by.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set v12.0 (be),MCV Test-Set v12.0 (be)
+stt_by_fastconformer_hybrid_large_pc,by,3.8 %,3.9 %

docs/source/asr/data/scores_pc/de/fastconformer_de.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set v12.0 (de),MCV Test-Set v12.0 (de),MLS Dev (en),MLS Test (en),VoxPopuli Dev (de),VoxPopuli Test (de)
+stt_de_fastconformer_hybrid_large_pc,de,4.7 %,5.4 %,10.1 %,11.1 %,12.6 %,10.4 %

docs/source/asr/data/scores_pc/en/fastconformer_en.csv

@@ -0,0 +1,2 @@
+Model Name,Language,EuroParl Test Set (en),Fisher Test Set (en),Librispeech Test-Clean,Librispeech Test-Other,MCV Test-Set v11.0 (en),MLS Test (en),NSC Part1,SPGI Test,VoxPopuli Test (en)
+stt_en_fastconformer_hybrid_large_pc,en,12.5 %,19.0 %,7.3 %,9.2 %,10.1 %,12.7 %,7.2 %,5.1 %,6.7 %

docs/source/asr/data/scores_pc/es/fastconformer_es.csv

@@ -0,0 +1,2 @@
+Model Name,Language,Fisher Dev Set (es),Fisher Test Set (es),MCV Dev-Set v12.0 (es),MCV Test-Set v12.0 (es),MLS Dev (en),MLS Test (en),VoxPopuli Dev (es),VoxPopuli Test (es)
+stt_es_fastconformer_hybrid_large_pc,es,14.7 %,14.6 %,4.5 %,5.0 %,3.1 %,3.9 %,4.4 %,5.6 %

docs/source/asr/data/scores_pc/hr/fastconformer_hr.csv

@@ -0,0 +1,2 @@
+Model Name,Language,Parlaspeech Dev-Set (v??) (hr),Parlaspeech Test-Set (v??) (hr)
+stt_hr_fastconformer_hybrid_large_pc,hr,10.4 %,8.7 %

docs/source/asr/data/scores_pc/it/fastconformer_it.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set v12.0 (it),MCV Test-Set v12.0 (it),MLS Dev (en),MLS Test (en),VoxPopuli Dev (it),VoxPopuli Test (it)
+stt_it_fastconformer_hybrid_large_pc,it,7.8 %,8.2 %,26.4 %,22.5 %,16.8 %,19.6 %

docs/source/asr/data/scores_pc/pl/fastconformer_pl.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Dev-Set v12.0 (pl),MCV Test-Set v12.0 (pl),MLS Dev (en),MLS Test (en),VoxPopuli Dev (pl),VoxPopuli Test (pl)
+stt_pl_fastconformer_hybrid_large_pc,pl,8.9 %,11.0 %,16.0 %,11.0 %,14.0 %,11.4 %

docs/source/asr/data/scores_pc/ua/fastconformer_ua.csv

@@ -0,0 +1,2 @@
+Model Name,Language,MCV Test-Set v12.0 (ua)
+stt_ua_fastconformer_hybrid_large_pc,ua,7.3 %