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06/07/2023
Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency
Word error rate (WER) and character error rate (CER) are standard metric...
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05/30/2023
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus
This paper introduces a new speech dataset called “LibriTTS-R” designed ...
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03/03/2023
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
Speech restoration (SR) is a task of converting degraded speech signals ...
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02/16/2022
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers
End-to-end speech recognition is a promising technology for enabling com...
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11/01/2021
SNRi Target Training for Joint Speech Enhancement and Recognition
This study aims to improve the performance of automatic speech recogniti...
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06/30/2021
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement
Single-channel speech enhancement (SE) is an important task in speech pr...
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06/09/2021
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition
End-to-end (E2E) modeling is advantageous for automatic speech recogniti...
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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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10/24/2020
Unsupervised Learning of Disentangled Speech Content and Style Representation
We present an approach for unsupervised learning of speech representatio...
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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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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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03/30/2018