App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 1

Cross-utterance phoneme segmentation driven by sparse coverage and common pattern

Sun Linjia
Wang Yinglin
Sun Junteng
School of Linguistics and Language Resources, Beijing Language and Culture University, Beijing 100083, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0153

Abstract

Existing methods for phoneme segmentation rely heavily on acoustic models and ignore the inherent structures and correlation cues of speech utterances. To this end, this paper redefined the phoneme segmentation task as a joint problem of utterance covering and pattern localization. Multiple utterances each contributed partial phonemes to collectively compose the complete phoneme set of the utterance to be segmented, and the start and end boundaries of the common phonemes were localized by a similarity matrix between each utterance and the utterance to be segmented. Based on this, this paper proposed a phoneme segmentation method based on sparse coverage constraints and common pattern localization. Furthermore, key strategies including multi-source feature fusion, duration-constrained clustering, and diagonal-first traversal were introduced to jointly enhance the performance of speech representation and boundary inference. Experimental results on TIMIT, THCHS-30 and Chinese dialect dataset demonstrate that the proposed method outperforms six acoustic model-based methods including Montreal Forced Aligner across all metrics. Within a tolerance of 10 ms, the accuracy and overlap rate reach 90.88% and 90.28%, outperforming those of the optimal method by 4.90 and 5.93 percentage points, respectively. The median and standard deviation of absolute deviation are 6.54 ms and 4.68 ms, respectively. Moreover, the core computational overhead is approximately 35 ms, leading to a linear relationship between segmentation time and utterance duration.

Foundation Support

中国语言资源保护工程专项项目(YB2005B004)
北京语言大学一流学科团队支持计划资助项目(2023YGF11)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0153
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 1

Publish History

[2026-09-08] Accepted Paper

Cite This Article

孙林嘉, 王莹琳, 孙骏腾. 稀疏覆盖与共有模式驱动的跨语音音素分割 [J]. 计算机应用研究, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0153. (Sun Linjia, Wang Yinglin, Sun Junteng. Cross-utterance phoneme segmentation driven by sparse coverage and common pattern [J]. Application Research of Computers, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0153. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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