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Speech-to-speech translation on Fisher Spanish-English (dev2)

89.4ASR BLEUSynthetic target
29.18444.81760.4576.083Dec 15, 2022Jan 10, 2023Feb 5, 2023Mar 4, 2023Mar 30, 2023Apr 25, 2023May 22, 2023

Evaluation results

MethodLinks
Synthetic targetID=A02022.1289.4—————
S2Sp-DDM, w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=duplex diffusion model (DDM), Pre-training=wav2vec2.0, Beam Size=102023.0559.8—————
S2Sp-Tn2+, C-w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron 2+, Pre-training=wav2vec2.0, Beam Size=102023.0559.5—————
S2SpecT2ID=A16, Encoder=Conformer wav2vec2.0, first pass prediction=subwords2022.1259.5—————
S2U-DDM, w2v2Model Framework=speech-to-unit (S2U), Architecture=duplex diffusion model (DDM), Pre-training=wav2vec2.0, Beam Size=102023.0558—————
UnitY, C-w2v2Model Framework=UnitY, Architecture=Conformer, Pre-training=wav2vec2.0, Beam Size=102023.0556.5—————
UnitYID=A21, Encoder=Conformer wav2vec2.02022.1256.5—————
S2Sp-DDMModel Framework=speech-to-spectrogram (S2Sp), Architecture=duplex diffusion model (DDM), Beam Size=102023.0555.1—————
S2U, C-w2v2Model Framework=speech-to-unit (S2U), Architecture=Conformer, Pre-training=wav2vec2.0, Beam Size=102023.0553.9—————
S2UTID=A19, Encoder=Conformer wav2vec2.02022.1253.9—————
S2U-DDMModel Framework=speech-to-unit (S2U), Architecture=duplex diffusion model (DDM), Beam Size=102023.0553.6—————
S2TT-TTS, C-w2v2Model Framework=S2TT, Architecture=Conformer, Pre-training=wav2vec2.0, Beam Size=102023.0552.2—————
S2TT -> TTSID=A7, Encoder=Conformer wav2vec2.02022.1252.2—————
S2U-RDC, w2v2Model Framework=speech-to-unit (S2U), Architecture=reversible duplex Conformer (RDC), Pre-training=wav2vec2.0, Beam Size=102023.0552.1—————
UnitY, CModel Framework=UnitY, Architecture=Conformer, Beam Size=102023.0551.6—————
UnitYID=A20, Encoder=Conformer2022.1251.6—————
S2Sp-RDC, w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=reversible duplex Conformer (RDC), Pre-training=wav2vec2.0, Beam Size=102023.0551.5—————
S2Sp-Tn2+, CModel Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron 2+, Beam Size=102023.0551.1—————
S2SpecT2ID=A15, Encoder=Conformer, first pass prediction=phonemes2022.1251.1—————
S2U-RDCModel Framework=speech-to-unit (S2U), Architecture=reversible duplex Conformer (RDC), Beam Size=102023.0549—————
S2TT-TTS, CModel Framework=S2TT, Architecture=Conformer, Beam Size=102023.0548.9—————
S2TT -> TTSID=A6, Encoder=Conformer2022.1248.9—————
S2Sp-Tn, C-w2v2Model Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron, Pre-training=wav2vec2.0, Beam Size=102023.0547.6—————
S2U, CModel Framework=speech-to-unit (S2U), Architecture=Conformer, Beam Size=102023.0547.6—————
S2SpecTID=A12, Encoder=Conformer wav2vec2.02022.1247.6—————
S2UTID=A18, Encoder=Conformer2022.1247.6—————
S2SP-RDCModel Framework=speech-to-spectrogram (S2Sp), Architecture=reversible duplex Conformer (RDC), Beam Size=102023.0547.3—————
S2TT -> TTSID=A5, Encoder=Transformer2022.1245.4—————
S2Sp-Tn, CModel Framework=speech-to-spectrogram (S2Sp), Architecture=Conformer, Method Variant=Translatotron, Beam Size=102023.0544.4—————
S2SpecTID=A11, Encoder=Conformer2022.1244.4—————
ASR-MT-TTSBeam Size=102023.0543.5—————
ASR -> MT -> TTSID=A1, Encoder=LSTM2022.1243.5—————
S2SpecTID=A10, Encoder=Transformer, Note=uses pseudo labeled external resources2022.1243.3—————
ASR -> MT -> TTSID=A2, Encoder=LSTM2022.1241.2—————
S2TT -> TTSID=A4, Encoder=LSTM2022.1239.9—————
Direct speech-to-spectrogram systemsID=A8, Encoder=Transformer2022.1231.5—————
ASR + MT + TTSASR beam=10, MT beam=52021.07—43.546.1———
ASR + T2STSource language setup=written, System architecture=Cascaded, Reduction ratio=r = 22021.07———25.5——
ASR + T2UT reducedSource language setup=written, System architecture=Cascaded2021.07———40.6——
Conformer - CTCParadigm=NAR, Backbone=Conformer, Reference=Inaguma et al., 2021a2023.05———51.611.8—
Conformer + Seq-KDParadigm=AR, Backbone=Conformer, Reference=Inaguma et al., 2021a2023.05———55.4——
CTC + MTLParadigm=NAR, Reference=Chuang et al., 20212023.05———45.2328.9—
CTC-Aug STParadigm=AR2023.05———54.071—
CTC-Aug ST + Seq-KDParadigm=AR2023.05———55.881—
CTC-NASTParadigm=NAR2023.05———55.924.1—
Intermediate CTCParadigm=NAR, Reference=Higuchi et al., 2021a2023.05———51.4——
Mask - CTCParadigm=NAR, Reference=Higuchi et al., 2021a2023.05———51.7——
Orthros - CMLMParadigm=NAR, Reference=Inaguma et al., 2021a2023.05———52.22.7—
Orthros - CTCParadigm=NAR, Reference=Inaguma et al., 2021a2023.05———54.81.09—
S2SpecTEncoder=Conformer2022.12—————62.1
S2SpecTEncoder=Conformer wav2vec2.02022.12—————65.5
S2SpecT2Encoder=Conformer2022.12—————66.1
S2SpecT2Encoder=Conformer wav2vec2.02022.12—————70.8
S2T + TTSbeam=102021.07—39.942.4———
S2TT + TTSEncoder=Conformer2022.12—————65.2
S2TT + TTSEncoder=Conformer wav2vec2.02022.12—————68.4
S2UTReduction factor (r)=1, Auxiliary targets=characters (sc, tc), reduction=none2021.07—34.6————
S2UTEncoder=Conformer2022.12—————64.2
S2UTEncoder=Conformer wav2vec2.02022.12—————68.8
S2UT reducedSource language setup=written, System architecture=Direct, Auxiliary task=sc2021.07———35.4——
S2UT reducedSource language setup=unwritten, System architecture=Direct, Auxiliary task=none2021.07———8——
S2UT reducedSource language setup=unwritten, System architecture=Direct, Auxiliary task=su2021.07———32.2——
S2UT reduced + CTCbeam=1, Auxiliary targets=characters (sc, tc), Dual modality=true2021.07—38.441.5———
S2UT reduced + CTCbeam=10, Auxiliary targets=characters (sc, tc), Dual modality=true2021.07—39.542.2———
S2UT stackedReduction factor (r)=5, Auxiliary targets=characters (sc, tc)2021.07—34.5————
S2UT stacked + CTCReduction factor (r)=5, Auxiliary targets=characters (sc, tc), Dual modality=true2021.07—36.437.9———
Self-conditioned CTCParadigm=NAR, Reference=Higuchi et al., 2021a2023.05———51.2——
Synthetic target2021.07—89.4100———
Transformer - CTCParadigm=NAR, Backbone=Transformer, Reference=Chuang et al., 20212023.05———43.9128.9—
Transformer (MT Baseline)Paradigm=MT2023.05———65.2——
Transformer + MTL + ASR init.Paradigm=AR, Backbone=Transformer, Reference=Chuang et al., 20212023.05———49.17——
Transformer + Seq-KDParadigm=AR, Backbone=Transformer, Reference=Inaguma et al., 2021a2023.05———51.4——
Transformer TranslatotronReduction factor (r)=5, Auxiliary targets=phonemes (sp, tp)2021.07—26.3————
Transformer TranslatotronReduction factor (r)=5, Auxiliary targets=characters (sc, tc)2021.07—34.1————
Translatotron2021.07—26.5————
TranslatotronSource language setup=written, System architecture=Direct, Auxiliary task=sp2021.07———8——
TranslatotronSource language setup=unwritten, System architecture=Direct, Auxiliary task=none2021.07———0.6——
Translatotron + pre-trained encoderpre-trained encoder=true2021.07—31.5————
UnitYEncoder=Conformer2022.12—————65.8
UnitYEncoder=Conformer wav2vec2.02022.12—————69.2