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Speech Translation on CoVoST-2 (test)

38Avg BLEU (15 Dir)Ground-truth Transcription + mBART-50
2.6411.822130.18Nov 17, 2021Jul 28, 2022Apr 7, 2023Dec 16, 2023Aug 25, 2024May 5, 2025Jan 14, 2026

Evaluation results

MethodLinks
Ground-truth Transcription + mBART-50PARAMS=0.6 B, Type=Non-E2EST2023.0538————42.139.935.8———————————
SLAM-LLM (Ours-7B)Architecture Category=End-to-End2026.0135.7——28.7——————47.7————30.8———
Qwen2-AudioArchitecture Category=End-to-End2026.0134.5——29.9——————45.2————28.6———
SeamlessM4T-V2Architecture Category=End-to-End2026.0131.7——37——————34.6————23.5———
ComSL LargePARAMS=1.3 B, Type=End-to-End, pseudo ST data=true2023.0531.5————37.635.927.5———————————
ComSL MediumPARAMS=0.9 B, Type=End-to-End, pseudo ST data=true2023.0530.8————37.335.626.6———————————
USMPARAMS=2 B, Type=End-to-End2023.0530.7——————————————————
Whisper Large + mBART-50PARAMS=2.2 B, Type=Non-E2EST2023.0530.5————37.434.626.4———————————
Whisper+Qwen7B-chatArchitecture Category=Cascaded2026.0130.5——25.3——————43.6————22.7———
Whisper Medium + mBART-50PARAMS=1.3 B, Type=Non-E2EST2023.0530.4————37.334.526.4———————————
ComSL LargePARAMS=1.3 B, Type=End-to-End, pseudo ST data=false2023.0530.1————37.734.525.8———————————
Whisper Large (Baseline Large)PARAMS=1.6 B, Type=End-to-End2023.0529.7————3733.825.6———————————
ComSL MediumPARAMS=0.9 B, Type=End-to-End, pseudo ST data=false2023.0529.7————37.434.125.3———————————
BLSP-KDArchitecture Category=End-to-End2026.0129——24.4——————41.3————21.3———
Whisper Medium (Baseline Medium)PARAMS=0.8 B, Type=End-to-End2023.0528.6————36.432.824.3———————————
XLS-RPre-training=Cross-lingual, Parameters=2B2021.1127.834.220.728.318.6——————————————
Mu2SLAMPARAMS=0.6 B, Type=End-to-End2023.0527.1————3730.623.5———————————
wav2vec 2.0 LV-60KPre-training=Monolingual, Parameters=720M2021.1126.632.719.42717.7——————————————
XLS-RPre-training=Cross-lingual, Parameters=1B2021.112632.119.226.217.1——————————————
W2V2-largeStrategy=Self-training, Labeling Data=60K hour audio, Decoding=with LM2022.0525.635.620.827.218.9——————————————
XLS-R + mBART-ML50N1Encoder Size=2B, Decoder=mBART-ML50N12022.0525.534.220.728.318.6——————————————
MaestroPARAMS=0.6 B, Type=End-to-End2023.0525.2————38.231.318.4———————————
XMEF JTPre-training=Cross-lingual2021.1125.130.91825.817——————————————
mSLAMPARAMS=2 B, Type=End-to-End2023.0524.8————37.829.618.5———————————
SALMONNArchitecture Category=End-to-End2026.0124.8——18.6——————33.1————22.7———
W2V2-largeStrategy=Self-training, Labeling Data=60K hour audio2022.0524.634.120.226.517.5——————————————
Wav2SeqEncoder Backbone=HuBERT-large2022.0524.432.719.727.218——————————————
W2V2 + mBART-ML50N1Encoder Size=0.72B, Decoder=mBART-ML50N12022.0524.232.719.42717.7——————————————
XLS-R + mBART-ML50N1Encoder Size=1B, Decoder=mBART-ML50N12022.0523.632.119.226.117.1——————————————
XLSR-53Pre-training=Cross-lingual2021.1123.42916.523.615.3——————————————
XLS-RPre-training=Cross-lingual, Parameters=0.3B2021.1123.228.716.323.615——————————————
XMEF-JT + mBART-ML50N1Decoder=mBART-ML50N1, Pre-trained Decoder=multilingual machine translation data2022.0522.930.91825.817——————————————
W2V2-large2022.0522.8341823.815.4——————————————
XLS-RModel size=2B2021.1122.1————36.127.715.1———————————
XLSR-53 + mBART-ML50N1Decoder=mBART-ML50N1, Pre-trained Decoder=multilingual machine translation data2022.0521.12916.523.615.3——————————————
VP-100KPre-training=Monolingual2021.1120.926.114.520.813.5——————————————
XLS-R + mBART-ML50N1Encoder Size=0.3B, Decoder=mBART-ML50N1, Pre-trained Decoder=multilingual machine translation data2022.0520.928.716.323.615——————————————
XLS-RModel size=1B2021.1119.3————34.325.511.7———————————
VP-100K + mBART-ML50N1Decoder=mBART-ML50N1, Pre-trained Decoder=multilingual machine translation data2022.0518.726.114.520.813.5——————————————
XMEF-XPre-training=Multilingually pretrained XLSR-532021.1114.7————34.220.25.9———————————
XLS-RModel size=0.3B2021.1113.2————30.618.95.1———————————
XMEF-EnPre-training=English-pretrained wav2vec 2.0 model2021.1112.4————32.416.84———————————
VP-100KFine-tuning protocol=Same as XLS-R2021.1111.1————27.713.24.6———————————
XLSR-53Fine-tuning protocol=Same as XLS-R2021.1110.3————30.311.13.2———————————
Wav2Seq (from HuBERT-large)Labelled audio=10h, Setup=low-resource fine-tuning, Encoder=HuBERT-large2022.057.2133.19.72.9——————————————
HuBERT-largeLabelled audio=10h, Setup=low-resource fine-tuning2022.0547.91.651.5——————————————
B-BaseArchitecture=RNN, Training Strategy=Bilingual, Input Features=mel-filter bank2020.10——2.715.72.2———23.220.24.41.41.21.50.21.111.7—
B-BaseArchitecture=RNN, Training Strategy=Bilingual2020.10——9.112.56.7—————2018.18.711.67.425.615.218.9—
B-Base + SSLArchitecture=RNN, Training Strategy=Bilingual, Input Features=wav2vec (SSL)2020.10——3.816.23.2———23.120.24.83.72.32.20.21.61.62.2—
Baseline2022.03——————————————————17.22
Baseline2022.03——————————————————23.15
Baseline2022.03——————————————————10.31
Baseline2022.03——————————————————25.46
Baseline2022.03——————————————————15.64
Bi-ASTbilingual=true2022.03——————————————————16.3
Bi-ASTbilingual=true2022.03——————————————————21.8
Bi-ASTbilingual=true2022.03——————————————————10
Bi-ASTbilingual=true2022.03——————————————————23.9
Bi-ASTbilingual=true2022.03——————————————————16
BLSPTask-specific fine-tuning=true2023.11——————————————————14.1
KD2022.03——————————————————18.26
KD2022.03——————————————————24.48
KD2022.03——————————————————11.1
KD2022.03——————————————————26.87
KD2022.03——————————————————17.21
KD+STR2022.03——————————————————19.06
KD+STR2022.03——————————————————25.33
KD+STR2022.03——————————————————11.83
KD+STR2022.03——————————————————27.73
KD+STR2022.03——————————————————17.83
Llama 3Model size=8B2024.07——————————————————34.4
Llama 3Model size=70B2024.07——————————————————38.8
Multi. B-BigArchitecture=RNN, Training Strategy=Multilingual (X-En), Resampling=Temperature-based (T=2)2020.10——0.319.52.1———26.626.34.41.30.61.40.10.60.30.9—
Multi. B-BigArchitecture=RNN, Training Strategy=Multilingual (En-X)2020.10——812.67.3—————22.218.38.911.47.328.21619.3—
Multi. T-MdArchitecture=Transformer, Training Strategy=Multilingual (X-En), Model Scale=Medium, Resampling=Temperature-based (T=2)2020.10——0.417.52.3———26.5275.90.50.60.70.10.10.31.9—
Multi. T-MdArchitecture=Transformer, Training Strategy=Multilingual (En-X), Model Scale=Medium2020.10——10.815.49.5—————26.520.912.214.610.330.518.922—
Qwen-Audiozero-shot=true2023.11——————————————————25.1
SALMONNTask-specific fine-tuning=true2023.11——————————————————18.6
SeamlessM4TVersion=v22024.07——————————————————37.9
STR2022.03——————————————————18.77
STR2022.03——————————————————24.83
STR2022.03——————————————————11.62
STR2022.03——————————————————27.28
STR2022.03——————————————————17.54
T-SmArchitecture=Transformer, Training Strategy=Bilingual, Model Scale=Small2020.10——4.317.13.6———26.3235.82.72.530.31.52.52.7—
T-SmArchitecture=Transformer, Training Strategy=Bilingual, Model Scale=Small2020.10——12.116.310—————25.421.8131610.929.620.423.9—
wav2vec 2.0 LV-60KPre-training=Monolingual, self-training=false, LM-decoding=false2021.11—32.417.423.815.4——————————————
wav2vec 2.0 LV-60KPre-training=Monolingual, self-training=true, LM-decoding=true2021.11—35.620.827.218.9——————————————
WhisperVersion=v22024.07——————————————————33.8
Whisper+NLLB3.3bArchitecture Category=Cascaded2026.01——————————32————19———