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An End-to-End Multi-dialect Speech Recognition Model ...
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由 J Zhou 著作2024 — In this paper, we propose DialectMoE, a Chinese multi-dialects speech recognition model based on Mixture-of-Experts (MoE) in a low-resource conditions.
An End-to-End Multi-Dialect Speech Recognition Model ...
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2023年12月16日 — In this paper, we propose DialectMoE, a Chinese multi-dialects speech recognition model based on Mixture-of-Experts (MoE) in a low-resource conditions.
An End-to-End Multi-Dialect Speech Recognition Model ...
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speech. In this paper, we propose DialectMoE,. 009 a Chinese multi-dialects speech recognition. 010 model based on Mixture-of-Experts (MoE) in a. 011 low ...
An End-to-End Multi-dialect Speech Recognition Model ...
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Moreover, we expound on the general process of dialect recognition. Several critical dialect recognition approaches are summarized and introduced in detail, ...
Dialectology - Recent articles and discoveries
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DialectMoE: An End-to-End Multi-dialect Speech Recognition Model with Mixture-of-Experts. Jie Zhou; Shengxiang Gao; Wenjun Wang. in Chinese Computational ...
Boosting Code-Switching ASR with Mixture of Experts ...
arXiv
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由 F Zhang 著作2024被引用 1 次 — In this paper, we introduce a speech-conditioned Large Language Model (LLM) integrated with a Mixture of Experts (MoE) based connector to address the challenge ...
Mixture-of-Expert Conformer for Streaming Multilingual ASR
isca-archive.org
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由 K Hu 著作被引用 13 次 — An end-to-end (E2E) multilingual automatic speech recogni- tion (ASR) model is appealing because of its potential to rec- ognize multiple languages using a ...
5 頁
Multi-Dialect Speech Recognition with a Single Sequence- ...
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Junjie Huang · View · DialectMoE: An End-to-End Multi-dialect Speech Recognition Model with Mixture-of-Experts. Chapter. Nov 2024. Jie Zhou · Shengxiang Gao ...
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An End-to-End Conformer-Based Speech Recognition Model ...
ACM Digital Library
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由 Y Shi 著作2022被引用 7 次 — This paper proposes an end-to-end Conformer-based multi-task learning speech recognition model for Mandarin radiotelephony communications in civil aviation.
End-to-end Japanese Multi-dialect Speech Recognition ...
Now Publishers
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由 R Imaizumi 著作被引用 26 次 — In this paper, we propose multi-task learning of Japanese DID and multi-dialect ASR (MD-ASR) systems with end-to-end models.
缺少字詞： DialectMoE: Mixture- Experts.
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