Mortyzhou-Shef-BIT / SpeechTransProgress

Tracking the progress in end-to-end speech translation

End-to-End Speech Translation Progress

Tutorial

• EACL 2021 tutorial: Speech Translation
• Blog: Getting Started with End-to-End Speech Translation
• ACL 2020 Theme paper: Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
• INTERSPEECH 2019 survey talk: Spoken Language Translation

Data

Corpus	Direction	Target	Duration	License
CoVoST 2	{Fr, De, Es, Ca, It, Ru, Zh, Pt, Fa, Et, Mn, Nl, Tr, Ar, Sv, Lv, Sl, Ta, Ja, Id, Cy} -> En and En -> {De, Ca, Zh, Fa, Et, Mn, Tr, Ar, Sv, Lv, Sl, Ta, Ja, Id, Cy}	Text	2880h	CC0
CVSS	{Fr, De, Es, Ca, It, Ru, Zh, Pt, Fa, Et, Mn, Nl, Tr, Ar, Sv, Lv, Sl, Ta, Ja, Id, Cy} -> En	Text & Speech	1900h	CC BY 4.0
mTEDx	{Es, Fr, Pt, It, Ru, El} -> En, {Fr, Pt, It} -> Es, Es -> {Fr, It}, {Es,Fr} -> Pt	Text	765h	CC BY-NC-ND 4.0
CoVoST	{Fr, De, Nl, Ru, Es, It, Tr, Fa, Sv, Mn, Zh} -> En	Text	700h	CC0
MUST-C & MUST-Cinema	En -> {De, Es, Fr, It, Nl, Pt, Ro, Ru, Ar, Cs, Fa, Tr, Vi, Zh}	Text	504h	CC BY-NC-ND 4.0
How2	En -> Pt	Text	300h	Youtube & CC BY-SA 4.0
Augmented LibriSpeech	En -> Fr	Text	236h	CC BY 4.0
Europarl-ST	{En, Fr, De, Es, It, Pt, Pl, Ro, Nl} -> {En, Fr, De, Es, It, Pt, Pl, Ro, Nl}	Text	280h	CC BY-NC 4.0
Kosp2e	Ko -> En	Text	198h	Mixed CC
Fisher + Callhome	Es -> En	Text	160h+20h	LDC
MaSS	parallel among En, Es, Eu, Fi, Fr, Hu, Ro and Ru	Text & Speech	172h	Bible.is
LibriVoxDeEn	De -> En	Text	110h	CC BY-NC-SA 4.0
Prabhupadavani	parallel among En, Fr, De, Gu, Hi, Hu, Id, It, Lv, Lt, Ne, Fa, Pl, Pt, Ru, Sl, Sk, Es, Se, Ta, Te, Tr, Bg, Hr, Da and Nl	Text	94h
BSTC	Zh -> En	Text	68h

Toolkit

• ESPNet-ST
• Fairseq S2T
• NeurST

Paper

2022

• [arXiv] Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages
• [arXiv] Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques
• [arXiv] CVSS Corpus and Massively Multilingual Speech-to-Speech Translation
• [arXiv] SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
• [NN] Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing
• [AAAI] Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

2021

• [arXiv] Textless Speech-to-Speech Translation on Real Data
• [arXiv] Translatotron 2: Robust direct speech-to-speech translation
• [arXiv] Direct speech-to-speech translation with discrete units
• [arXiv] Efficient Transformer for Direct Speech Translation
• [arXiv] Zero-shot Speech Translation
• [arXiv] UniST: Unified End-to-end Model for Streaming and Non-streaming Speech Translation
• [arXiv] Direct simultaneous speech to speech translation
• [ASRU] Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates
• [ASRU] Assessing Evaluation Metrics for Speech-to-Speech Translation
• [ASRU] Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders
• [ICNLSP] Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation
• [INTERSPEECH] Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation
• [EMNLP] Speechformer: Reducing Information Loss in Direct Speech Translation
• [EMNLP] Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation
• [INTERSPEECH] End-to-end Speech Translation via Cross-modal Progressive Training
• [INTERSPEECH] CoVoST 2 and Massively Multilingual Speech-to-Text Translation
• [INTERSPEECH] The Multilingual TEDx Corpus for Speech Recognition and Translation
• [INTERSPEECH] Large-Scale Self-and Semi-Supervised Learning for Speech Translation
• [INTERSPEECH] Kosp2e: Korean Speech to English Translation Corpus
• [INTERSPEECH] AlloST: Low-resource Speech Translation without Source Transcription
• [INTERSPEECH] SpecRec: An Alternative Solution for Improving End-to-End Speech-to-Text Translation via Spectrogram Reconstruction
• [INTERSPEECH] Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation
• [INTERSPEECH] ASR Posterior-based Loss for Multi-task End-to-end Speech Translation
• [AMTA] Simultaneous Speech Translation for Live Subtitling: from Delay to Display
• [ACL] Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
• [ACL] Multilingual Speech Translation with Efficient Finetuning of Pretrained Models
• [ACL] Lightweight Adapter Tuning for Multilingual Speech Translation
• [ACL] Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?
• [ACL] Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
• [ACL Findings] Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR
• [ACL Findings] AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation
• [ACL Findings] RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer
• [ACL Findings] Learning Shared Semantic Space for Speech-to-Text Translation
• [ACL Findings] Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation
• [ACL Findings] How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation
• [ACL Demo] NeurST: Neural Speech Translation Toolkit
• [ICML] Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
• [NAACL] Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation
• [NAACL] Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
• [NAACL AutoSimTrans] BSTC: A Large-Scale Chinese-English Speech Translation Dataset
• [AmericasNLP] Highland Puebla Nahuatl–Spanish Speech Translation Corpus for Endangered Language Documentation
• [ICASSP] Task Aware Multi-Task Learning for Speech to Text Tasks
• [ICASSP] A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks
• [ICASSP] An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
• [ICASSP] Streaming Simultaneous Speech Translation with Augmented Memory Transformer
• [ICASSP] Orthros: Non-autoregressive End-to-end Speech Translation with Dual-decoder
• [ICASSP] Cascaded Models With Cyclic Feedback For Direct Speech Translation
• [ICASSP] Jointly Trained Transformers models for Spoken Language Translation
• [ICASSP] Efficient Use of End-to-end Data in Spoken Language Processing
• [EACL] CTC-based Compression for Direct Speech Translation
• [EACL] Streaming Models for Joint Speech Recognition and Translation
• [IberSPEECH] mintzai-ST: Corpus and Baselines for Basque-Spanish Speech Translation
• [AAAI] Consecutive Decoding for Speech-to-text Translation
• [AAAI] UWSpeech: Speech to Speech Translation for Unwritten Languages
• [AAAI] "Listen, Understand and Translate": Triple Supervision Decouples End-to-end Speech-to-text Translation
• [SLT] Tight Integrated End-to-End Training for Cascaded Speech Translation
• [SLT] Transformer-based Direct Speech-to-speech Translation with Transcoder

2020

• [arXiv] Bridging the Modality Gap for Speech-to-Text Translation
• [arXiv] CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning
• [CLiC-IT] On Knowledge Distillation for Direct Speech Translation
• [COLING] Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
• [COLING] Breeding Gender-aware Direct Speech Translation Systems
• [AACL] SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation
• [AACL Demo] fairseq S2T: Fast Speech-to-Text Modeling with fairseq
• [EMNLP] Effectively pretraining a speech translation decoder with Machine Translation data
• [EMNLP Findings] Adaptive Feature Selection for End-to-End Speech Translation
• [AMTA] On Target Segmentation for Direct Speech Translation
• [INTERSPEECH] Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection
• [INTERSPEECH] Relative Positional Encoding for Speech Recognition and Direct Translation
• [INTERSPEECH] Contextualized Translation of Automatically Segmented Speech
• [INTERSPEECH] Self-Training for End-to-End Speech Translation
• [INTERSPEECH] Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
• [INTERSPEECH] Self-Supervised Representations Improve End-to-End Speech Translation
• [INTERSPEECH] Investigating Self-Supervised Pre-Training for End-to-End Speech Translation
• [TACL] Consistent Transcription and Translation of Speech
• [ACL] Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation
• [ACL] Phone Features Improve Speech Translation
• [ACL] Curriculum Pre-training for End-to-End Speech Translation
• [ACL] SimulSpeech: End-to-End Simultaneous Speech to Text Translation
• [ACL] Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
• [ACL Theme] Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
• [ACL Demo] ESPnet-ST: All-in-One Speech Translation Toolkit
• [LREC] CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus
• [LREC] MuST-Cinema: a Speech-to-Subtitles corpus
• [LREC] MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
• [LREC] LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition
• [ICASSP] Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates
• [ICASSP] Instance-Based Model Adaptation For Direct Speech Translation
• [ICASSP] Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning
• [ICASSP] Analyzing ASR pretraining for low-resource speech-to-text translation
• [ICASSP] End-to-End Speech Translation with Self-Contained Vocabulary Manipulation
• [AAAI] Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
• [AAAI] Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

2019

• [ASRU] One-To-Many Multilingual End-to-end Speech Translation
• [ASRU] Multilingual End-to-End Speech Translation
• [ASRU] Speech-to-speech Translation between Untranscribed Unknown Languages
• [ASRU] A Comparative Study on End-to-end Speech to Text Translation
• [IWSLT] Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade
• [IWSLT] On Using SpecAugment for End-to-End Speech Translation
• [INTERSPEECH] End-to-End Speech Translation with Knowledge Distillation
• [INTERSPEECH] Adapting Transformer to End-to-end Spoken Language Translation
• [INTERSPEECH] Direct speech-to-speech translation with a sequence-to-sequence model
• [ACL] Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
• [ACL] Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
• [NAACL] Pre-training on High-Resource Speech Recognition Improves Low-Resource Speech-to-Text Translation
• [NAACL] MuST-C: a Multilingual Speech Translation Corpus
• [NAACL] Fluent Translations from Disfluent Speech in End-to-End Speech Translation
• [ICASSP] Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation
• [ICASSP] Towards unsupervised speech-to-text translation
• [ICASSP] Towards End-to-end Speech-to-text Translation with Two-pass Decoding

2018

• [NIPS] How2: A Large-scale Dataset for Multimodal Language Understanding
• [IberSPEECH] End-to-End Speech Translation with the Transformer
• [INTERSPEECH] Low-Resource Speech-to-Text Translation
• [LREC] Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation
• [NAACL] Tied multitask learning for neural speech translation
• [ICASSP] End-to-End Automatic Speech Translation of Audiobooks

2017

• [INTERSPEECH] Sequence-to-Sequence Models Can Directly Translate Foreign Speech
• [INTERSPEECH] Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation
• [EACL] Towards speech-to-text translation without speech recognition

2016

• [NIPS Workshop] Listen and translate: A proof of concept for end-to-end speech-to-text translation
• [NAACL] An Attentional Model for Speech Translation Without Transcription

2013

• [IWSLT] Improved Speech-to-Text Translation with the Fisher and Callhome Spanish–English Speech Translation Corpus

Contact

Changhan Wang ([e-mail])