@inproceedings{c4ded0680f724749919e3e46d96d4b6c,
title = "Chinese Speech Processing via Chinese Character Feature",
abstract = "This paper focuses on the basic structure of Chinese characters: semantic-phonetic compound characters. This paper takes advantage of this feature of Chinese characters and innovatively proposes a Chinese speech-processing method based on character shape. We use the association between the character shape and pronunciation of Chinese characters to construct a new character stroke-based dataset. We use two neural network structures, RNN and Transformer, to verify our proposed Chinese speech processing method.It is proved through experiments that the method improves the performance of Mandarin ASR(Automatic Speech Recognition) by about 2\% and AEC(ASR Error Correction) by about 1\%. Theoretically, this method applies to all Chinese speech-processing algorithms based on the attention mechanism.",
keywords = "Automatic Speech Recognition, Chinese Character Feature, Semantic-phonetic Compound Character, Text Recorrection",
author = "Rui Jiang and Zhao Yang and Wei Xi and Xiao Fu and Jizhong Zhao",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 ; Conference date: 06-04-2025 Through 11-04-2025",
year = "2025",
doi = "10.1109/ICASSP49660.2025.10888527",
language = "英语",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Rao, \{Bhaskar D\} and Isabel Trancoso and Gaurav Sharma and Mehta, \{Neelesh B.\}",
booktitle = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings",
}