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Speech-to-speech translation on Fisher Spanish-English (test)

90.5BLEU (Speech Input)Synthetic target
23.00440.52758.0575.573Jul 12, 2021Nov 2, 2021Feb 23, 2022Jun 16, 2022Oct 7, 2022Jan 28, 2023May 22, 2023

Evaluation results

MethodLinks
Synthetic target2021.0790.51003.49——
Synthetic targetID=A02022.1290.5————
S2Sp-DDM, w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=duplex diffusion model (DDM), Pre-training=wav2vec2.0, Beam Size=102023.0559.1————
S2Sp-Tn2+, C-w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron 2+, Pre-training=wav2vec2.0, Beam Size=102023.0558.6————
S2SpecT2ID=A16, Encoder=Conformer wav2vec2.0, first pass prediction=subwords2022.1258.6————
S2U-DDM, w2v2Model Framework=speech-to-unit (S2U), Architecture=duplex diffusion model (DDM), Pre-training=wav2vec2.0, Beam Size=102023.0557.4————
UnitY, C-w2v2Model Framework=UnitY, Architecture=Conformer, Pre-training=wav2vec2.0, Beam Size=102023.0555.9————
UnitYID=A21, Encoder=Conformer wav2vec2.02022.1255.9————
S2Sp-DDMModel Framework=speech-to-spectrogram (S2Sp), Architecture=duplex diffusion model (DDM), Beam Size=102023.0554.8————
S2U, C-w2v2Model Framework=speech-to-unit (S2U), Architecture=Conformer, Pre-training=wav2vec2.0, Beam Size=102023.0553.7————
S2UTID=A19, Encoder=Conformer wav2vec2.02022.1253.7————
S2U-DDMModel Framework=speech-to-unit (S2U), Architecture=duplex diffusion model (DDM), Beam Size=102023.0553.1————
Translatotron2ID=A14, Encoder=Conformer w2v-BERT2022.1252.2————
S2TT-TTS, C-w2v2Model Framework=S2TT, Architecture=Conformer, Pre-training=wav2vec2.0, Beam Size=102023.0552.1————
S2TT -> TTSID=A7, Encoder=Conformer wav2vec2.02022.1252.1————
S2U-RDC, w2v2Model Framework=speech-to-unit (S2U), Architecture=reversible duplex Conformer (RDC), Pre-training=wav2vec2.0, Beam Size=102023.0551.8————
UnitY, CModel Framework=UnitY, Architecture=Conformer, Beam Size=102023.0551.4————
UnitYID=A20, Encoder=Conformer2022.1251.4————
S2Sp-RDC, w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=reversible duplex Conformer (RDC), Pre-training=wav2vec2.0, Beam Size=102023.0551————
S2Sp-Tn2+, CModel Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron 2+, Beam Size=102023.0550.8————
S2SpecT2ID=A15, Encoder=Conformer, first pass prediction=phonemes2022.1250.8————
S2U-RDCModel Framework=speech-to-unit (S2U), Architecture=reversible duplex Conformer (RDC), Beam Size=102023.0548.5————
S2TT-TTS, CModel Framework=S2TT, Architecture=Conformer, Beam Size=102023.0548.3————
S2TT -> TTSID=A6, Encoder=Conformer2022.1248.3————
S2U, CModel Framework=speech-to-unit (S2U), Architecture=Conformer, Beam Size=102023.0547.4————
S2UTID=A18, Encoder=Conformer2022.1247.4————
S2SP-RDCModel Framework=speech-to-spectrogram (S2Sp), Architecture=reversible duplex Conformer (RDC), Beam Size=102023.0547————
S2Sp-Tn, C-w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron, Pre-training=wav2vec2.0, Beam Size=102023.0546.3————
S2SpecTID=A12, Encoder=Conformer wav2vec2.02022.1246.3————
S2TT -> TTSID=A5, Encoder=Transformer2022.1245.1————
ASR + MT + TTSASR beam=10, MT beam=52021.0743.946.33.37——
ASR-MT-TTSBeam Size=102023.0543.9————
ASR -> MT -> TTSID=A1, Encoder=LSTM2022.1243.9————
S2Sp-Tn, CModel Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron, Beam Size=102023.0543.8————
S2SpecTID=A11, Encoder=Conformer2022.1243.8————
S2SpecTID=A10, Encoder=Transformer, Note=uses pseudo labeled external resources2022.1243.6————
ASR -> MT -> TTSID=A3, Encoder=LSTM2022.1243.3————
Translatotron2ID=A13, Encoder=Conformer, Note=uses data augmentation by concatenating multiple utterances2022.1242.4————
ASR -> MT -> TTSID=A2, Encoder=LSTM2022.1241.4————
Translatotron 2 + data augmentationdata augmentation=true2021.0740.3—3.79——
S2T + TTSbeam=102021.0740.242.13.43——
S2TT -> TTSID=A4, Encoder=LSTM2022.1240.2————
S2UT reduced + CTCbeam=10, Auxiliary targets=characters (sc, tc), Dual modality=true2021.0739.941.93.41——
Direct speech-to-unit systemsID=A17, Encoder=Transformer2022.1239.9————
S2UT reduced + CTCbeam=1, Auxiliary targets=characters (sc, tc), Dual modality=true2021.0738.540.7———
Translatotron 22021.0737—3.98——
S2UT stackedReduction factor (r)=5, Auxiliary targets=characters (sc, tc)2021.0734.4————
S2UT stacked + CTCReduction factor (r)=5, Auxiliary targets=characters (sc, tc), Dual modality=true2021.0734.435.83.32——
S2UTReduction factor (r)=1, Auxiliary targets=characters (sc, tc), reduction=none2021.0734.1—3.35——
Transformer TranslatotronReduction factor (r)=5, Auxiliary targets=characters (sc, tc)2021.0733.2—3.31——
Direct speech-to-spectrogram systemsID=A9, Encoder=Transformer2022.1233.2————
Translatotron + pre-trained encoderpre-trained encoder=true2021.0731.1————
Direct speech-to-spectrogram systemsID=A8, Encoder=Transformer2022.1231.1————
Transformer TranslatotronReduction factor (r)=5, Auxiliary targets=phonemes (sp, tp)2021.0726.2————
Translatotron2021.0725.6—3.69——
ASR + T2STSource language setup=written, System architecture=Cascaded, Reduction ratio=r = 22021.07———25.9—
ASR + T2UT reducedSource language setup=written, System architecture=Cascaded2021.07———41—
B-AEDLatency Region=High2024.06———47.7—
CAATLatency Region=Low2024.06———44.7—
CIF-ILLatency weight (Alat)=0.0, Latency Region=Medium2024.06———33.1—
CIF-ILLatency weight (Alat)=0.5, Latency Region=Low2024.06———30.3—
Conformer - CTCParadigm=NAR, Backbone=Conformer, Reference=Inaguma et al., 2021a2023.05———50.811.8
Conformer + Seq-KDParadigm=AR, Backbone=Conformer, Reference=Inaguma et al., 2021a2023.05———54.1—
CTCParadigm=NAR, Reference=Inaguma et al., 2021b2023.05———45.9720.84
CTC + MTLParadigm=NAR, Reference=Chuang et al., 20212023.05———44.9228.9
CTC-Aug STParadigm=AR2023.05———53.691
CTC-Aug ST + Seq-KDParadigm=AR2023.05———55.091
CTC-NASTParadigm=NAR2023.05———54.714.1
ESPnetmode=Offline2024.06———50.9—
Fast-MDmode=Offline2024.06———54.4—
Intermediate CTCParadigm=NAR, Reference=Higuchi et al., 2021a2023.05———51—
LS-Transducer-SSTLatency Region=Low2024.06———46.3—
LS-Transducer-SSTAIF epsilon (e)=1, Latency Region=Low2024.06———47.8—
LS-Transducer-SSTAIF epsilon (e)=2, Latency Region=Medium2024.06———49.7—
LS-Transducer-SSTAIF epsilon (e)=5, Latency Region=Medium2024.06———51.4—
Mask - CTCParadigm=NAR, Reference=Higuchi et al., 2021a2023.05———50.6—
Orthros - CMLMParadigm=NAR, Reference=Inaguma et al., 2021a2023.05———51.22.7
Orthros - CTCParadigm=NAR, Reference=Inaguma et al., 2021a2023.05———54.11.09
S2UT reducedSource language setup=written, System architecture=Direct, Auxiliary task=sc2021.07———35.2—
S2UT reducedSource language setup=unwritten, System architecture=Direct, Auxiliary task=none2021.07———7.4—
S2UT reducedSource language setup=unwritten, System architecture=Direct, Auxiliary task=su2021.07———31.8—
Self-conditioned CTCParadigm=NAR, Reference=Higuchi et al., 2021a2023.05———50.5—
Standard Neural TransducerLatency Region=Medium2024.06———37.9—
Transformer - CTCParadigm=NAR, Backbone=Transformer, Reference=Chuang et al., 20212023.05———43.528.9
Transformer (MT Baseline)Paradigm=MT2023.05———63.35—
Transformer + MTL + ASR init.Paradigm=AR, Backbone=Transformer, Reference=Chuang et al., 20212023.05———48.4—
Transformer + Seq KDParadigm=AR, Backbone=Transformer, Reference=Inaguma et al., 2021b2023.05———50.32—
Transformer + Seq-KDParadigm=AR, Backbone=Transformer, Reference=Inaguma et al., 2021a2023.05———50.8—
TranslatotronSource language setup=written, System architecture=Direct, Auxiliary task=sp2021.07———7.2—
TranslatotronSource language setup=unwritten, System architecture=Direct, Auxiliary task=none2021.07———0.6—
UWSpeechSource language setup=unwritten, System architecture=Direct2021.07———9.4—
Wait-kWait-k parameter=5, Pre-decision step size=360 ms, Latency Region=High2024.06———48.9—
Wait-kWait-k parameter=4, Pre-decision step size=360 ms, Latency Region=High2024.06———48.1—
Wait-kWait-k parameter=3, Pre-decision step size=360 ms, Latency Region=Medium2024.06———46.8—
Wait-kWait-k parameter=3, Pre-decision step size=280 ms, Latency Region=Medium2024.06———42—
Wait-kWait-k parameter=1, Pre-decision step size=280 ms, Latency Region=Medium2024.06———35.2—
Wait-kWait-k parameter=3, Pre-decision step size=200 ms, Latency Region=Medium2024.06———28.7—
Wait-kWait-k parameter=1, Pre-decision step size=200 ms, Latency Region=Low2024.06———25.2—