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08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
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06/01/2023
Exploration on HuBERT with Multiple Resolutions
Hidden-unit BERT (HuBERT) is a widely-used self-supervised learning (SSL...
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05/04/2023
Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks
Transducer and Attention based Encoder-Decoder (AED) are two widely used...
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04/10/2023
Enhancing Speech-to-Speech Translation with Multiple TTS Targets
It has been known that direct speech-to-speech translation (S2ST) models...
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04/10/2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitat...
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12/15/2022
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units
Direct speech-to-speech translation (S2ST), in which all components can ...
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11/11/2022
Speech-to-Speech Translation For A Real-world Unwritten Language
We study speech-to-speech translation (S2ST) that translates speech from...
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10/21/2022
Named Entity Detection and Injection for Direct Speech Translation
In a sentence, certain words are critical for its semantic. Among them, ...
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10/18/2022
Simple and Effective Unsupervised Speech Translation
The amount of labeled data to train models for speech tasks is limited f...
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09/08/2022
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM
Connectionist temporal classification (CTC) -based models are attractive...
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09/05/2022
Distilling the Knowledge of BERT for CTC-based ASR
Connectionist temporal classification (CTC) -based models are attractive...
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01/14/2022
A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding Strategies
In this study, we present recent developments of models trained with the...
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10/11/2021
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Non-autoregressive (NAR) models simultaneously generate multiple outputs...
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10/05/2021
ASR Rescoring and Confidence Estimation with ELECTRA
In automatic speech recognition (ASR) rescoring, the hypothesis with the...
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09/27/2021
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates
The multi-decoder (MD) end-to-end speech translation model has demonstra...
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09/09/2021
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring
This article describes an efficient end-to-end speech translation (E2E-S...
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07/15/2021
VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording
In this work, we propose novel decoding algorithms to enable streaming a...
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07/01/2021
ESPnet-ST IWSLT 2021 Offline Speech Translation System
This paper describes the ESPnet-ST group's IWSLT 2021 submission in the ...
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07/01/2021
StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR
While attention-based encoder-decoder (AED) models have been successfull...
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04/13/2021
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation
A conventional approach to improving the performance of end-to-end speec...
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02/28/2021
Alignment Knowledge Distillation for Online Streaming Attention-based Speech Recognition
This article describes an efficient training method for online streaming...
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12/23/2020
The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans
This paper describes the recent development of ESPnet (https://github.co...
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10/26/2020
Recent Developments on ESPnet Toolkit Boosted by Conformer
In this study, we present recent developments on ESPnet: End-to-End Spee...
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10/26/2020
Improved Mask-CTC for Non-Autoregressive End-to-End ASR
For real-world deployment of automatic speech recognition (ASR), the sys...
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10/25/2020
Orthros: Non-autoregressive End-to-end Speech Translation with Dual-decoder
Fast inference speed is an important goal towards real-world deployment ...
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08/09/2020
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Attention-based sequence-to-sequence (seq2seq) models have achieved prom...
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05/19/2020
Enhancing Monotonic Multihead Attention for Streaming ASR
We investigate a monotonic multihead attention (MMA) by extending hard m...
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05/10/2020
CTC-synchronous Training for Monotonic Attention Model
Monotonic chunkwise attention (MoChA) has been studied for the online st...
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04/23/2020
End-to-end speech-to-dialog-act recognition
Spoken language understanding, which extracts intents and/or semantic co...
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04/21/2020
ESPnet-ST: All-in-One Speech Translation Toolkit
We present ESPnet-ST, which is designed for the quick development of spe...
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04/10/2020
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR
Recently, a few novel streaming attention-based sequence-to-sequence (S2...
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10/01/2019
Multilingual End-to-End Speech Translation
In this paper, we propose a simple yet effective framework for multiling...
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09/22/2019
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
Acoustic-to-word (A2W) end-to-end automatic speech recognition (ASR) sys...
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09/13/2019
A Comparative Study on Transformer vs RNN in Speech Applications
Sequence-to-sequence models have been widely used in end-to-end speech p...
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11/06/2018
Language model integration based on memory control for sequence to sequence speech recognition
In this paper, we explore several new schemes to train a seq2seq model t...
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11/06/2018
