Automatic Phonetic Segmentation of the Yuhmu Language Using Mel Scale Spectral Parameters

IF 1.3 4区工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Latin America Transactions Pub Date : 2025-10-07 DOI:10.1109/TLA.2025.11195167

Eric Ramos-Aguilar;J. Arturo Olvera-Lopez;Ivan Olmos-Pineda;Ricardo Ramos-Aguilar

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引用次数: 0

Abstract

The application of digital signal processing techniques and machine learning, along with implicit segmentation, poses a challenge in the study of phonetic segmentation of indigenous languages in Mexico, given their linguistic and phonetic diversity. The analysis of Mel-scaled spectrograms offers an effective approach to identify patterns that can outline relevant information. By comparing the results with the actual number of phonemes in a word, both successes and areas for improvement can be observed. This article proposes a methodology for automatic segmental analysis of the Yuhmu language, considering parameter search in the Mel scale and implementing the cosine distance between spectrogram vectors. Additionally, relevant data within the resulting matrices are taken into account based on four key thresholds in information selection. The analysis yields a Segment Error Rate (SER) ranging from 38.79% to 41.35%, which aligns with the results reported in the literature on the subject.

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基于Mel尺度谱参数的玉木语自动语音分割

鉴于墨西哥土著语言的语言和语音多样性，数字信号处理技术和机器学习的应用以及隐式分词对其语音分词研究提出了挑战。mel尺度谱图的分析提供了一种有效的方法来识别可以概述相关信息的模式。通过将结果与单词的实际音素数量进行比较，可以观察到成功和需要改进的地方。本文提出了一种基于Mel尺度的参数搜索和谱图向量间余弦距离的玉木语自动分段分析方法。此外，根据信息选择中的四个关键阈值考虑结果矩阵中的相关数据。分析得出的片段错误率（SER）范围从38.79%到41.35%，这与有关该主题的文献报告的结果一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

3.50

自引率

7.70%

发文量

192

审稿时长

3-8 weeks

期刊介绍： IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.