Scores
Contents
Scores#
EN#
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 |
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 |
2.0 |
4.4 |
2.1 |
4.3 |
|||||||||
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 |
1.5 |
3.5 |
1.7 |
3.6 |
|||||||||
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 |
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 |
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 |
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 |
CA#
Model Name |
Language |
MCV Dev-Set (v??) (ca) |
|---|---|---|
stt_ca_quartznet15x5 |
ca |
6.0 |
DE#
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 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 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 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 |
ENES#
Model Name |
Language |
Fisher-Dev-Es |
Librispeech Dev-Clean |
Librispeech Dev-Other |
Librispeech Test-Clean |
Librispeech Test-Other |
MCV Dev-Set v7.0 (en) |
MLS Dev (es) |
VoxPopuli Dev (es) |
|---|---|---|---|---|---|---|---|---|---|
stt_enes_conformer_ctc_large |
enes |
16.7 % |
2.2 % |
5.5 % |
2.6 % |
5.5 % |
5.8 % |
3.5 % |
5.7 % |
stt_enes_conformer_transducer_large |
enes |
16.2 % |
2.0 % |
4.6 % |
2.2 % |
4.6 % |
5.0 % |
3.3 % |
5.3 % |
Model Name |
Language |
Fisher-Dev-Es |
Librispeech Dev-Clean |
Librispeech Dev-Other |
Librispeech Test-Clean |
Librispeech Test-Other |
MCV Dev-Set v7.0 (en) |
MLS Dev (es) |
VoxPopuli Dev (es) |
|---|---|---|---|---|---|---|---|---|---|
stt_enes_contextnet_large |
enes |
14.8 % |
2.2 % |
5.6 % |
2.3 % |
5.5 % |
4.7 % |
3.0 % |
5.0 % |
ES#
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 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 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 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 |
FR#
Model Name |
Language |
MCV Dev-Set (v??) (fr) |
MCV Dev-Set v7.0 (fr) |
MCV Dev-Set v7.0 (fr) (No Hyphen) |
MCV Test-Set v7.0 (fr) |
MCV Test-Set v7.0 (fr) (No Hyphen) |
MLS Dev (en) |
MLS Dev (en) (No Hyphen) |
MLS Test (en) |
MLS Test (en) (No Hyphen) |
|---|---|---|---|---|---|---|---|---|---|---|
stt_fr_citrinet_1024_gamma_0_25 |
fr |
10.76 |
9.90 |
12.20 |
11.11 |
6.66 |
6.19 |
5.53 |
5.12 |
Model Name |
Language |
MCV Dev-Set (v??) (fr) |
MCV Dev-Set v7.0 (fr) |
MCV Dev-Set v7.0 (fr) (No Hyphen) |
MCV Test-Set v7.0 (fr) |
MCV Test-Set v7.0 (fr) (No Hyphen) |
MLS Dev (en) |
MLS Dev (en) (No Hyphen) |
MLS Test (en) |
MLS Test (en) (No Hyphen) |
|---|---|---|---|---|---|---|---|---|---|---|
stt_fr_conformer_ctc_large |
fr |
8.35 |
7.88 |
9.63 |
9.01 |
5.88 |
5.90 |
4.91 |
4.63 |
|
stt_fr_conformer_transducer_large |
fr |
6.85 |
7.95 |
5.05 |
4.10 |
Model Name |
Language |
MCV Dev-Set (v??) (fr) |
MCV Dev-Set v7.0 (fr) |
MCV Dev-Set v7.0 (fr) (No Hyphen) |
MCV Test-Set v7.0 (fr) |
MCV Test-Set v7.0 (fr) (No Hyphen) |
MLS Dev (en) |
MLS Dev (en) (No Hyphen) |
MLS Test (en) |
MLS Test (en) (No Hyphen) |
|---|---|---|---|---|---|---|---|---|---|---|
stt_fr_contextnet_1024 |
fr |
8.32 |
9.42 |
6.02 |
5.01 |
Model Name |
Language |
MCV Dev-Set (v??) (fr) |
MCV Dev-Set v7.0 (fr) |
MCV Dev-Set v7.0 (fr) (No Hyphen) |
MCV Test-Set v7.0 (fr) |
MCV Test-Set v7.0 (fr) (No Hyphen) |
MLS Dev (en) |
MLS Dev (en) (No Hyphen) |
MLS Test (en) |
MLS Test (en) (No Hyphen) |
|---|---|---|---|---|---|---|---|---|---|---|
stt_fr_quartznet15x5 |
fr |
14.01 |
IT#
Model Name |
Language |
MCV Dev-Set (v??) (it) |
|---|---|---|
stt_it_quartznet15x5 |
it |
15.22 |
PL#
Model Name |
Language |
MCV Dev-Set (v??) (pl) |
|---|---|---|
stt_pl_quartznet15x5 |
pl |
14 |
RU#
Model Name |
Language |
MCV Dev-Set (v??) (ru) |
|---|---|---|
stt_ru_quartznet15x5 |
ru |
16.23 |
ZH#
Model Name |
Language |
AIShell Dev-Android v2 |
AIShell Dev-Ios v1 |
AIShell Dev-Ios v2 |
AIShell Dev-Mic v2 |
AIShell Test-Android v2 |
AIShell Test-Ios v1 |
AIShell Test-Ios v2 |
AIShell Test-Mic v2 |
|---|---|---|---|---|---|---|---|---|---|
stt_zh_citrinet_512 |
zh |
6.25% |
6.44% |
||||||
stt_zh_citrinet_1024_gamma_0_25 |
zh |
5.2 % |
4.8 % |
5.2 % |
5.5 % |
5.1 % |
5.5 % |
Model Name |
Language |
AIShell Dev-Android v2 |
AIShell Dev-Ios v1 |
AIShell Dev-Ios v2 |
AIShell Dev-Mic v2 |
AIShell Test-Android v2 |
AIShell Test-Ios v1 |
AIShell Test-Ios v2 |
AIShell Test-Mic v2 |
|---|---|---|---|---|---|---|---|---|---|
stt_zh_conformer_transducer_large |
zh |
3.4 |
3.2 |
3.4 |
3.4 |
3.2 |
3.4 |