食道语音浊音段的分析与识别

Electronics, Robotics and Automotive Mechanics Conference (CERMA'06) Pub Date : 2006-09-26 DOI:10.1109/CERMA.2006.104

A. Mantilla, H. Perez-Meana, D. Mata, C. Angeles, J. Alvarado, L. Cabrera

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引用次数: 1

摘要

本文提出了一个西班牙语食道语音浊音段分析与识别系统。揭示了基于峰提取方法的浊音段分析算法的数学基础，以及通过人工神经网络的识别阶段。给出了正常语音和食道语音的模拟结果。该系统在基于德州仪器公司TMS320C5416数字信号处理器的实时处理平台上实现

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Analysis and Recognition of Voiced Segments of Esophageal Speech

This paper presents a system for analysis and recognition of voiced segments in Spanish esophageal speech. It exposes the mathematical fundaments for the voiced speech segments analysis algorithm, based in the formant extraction method as well as the recognition stage through the artificial neural networks. Simulation results are presented for normal and esophageal speech. The system was implemented in a real time processing platform based in a digital signal processor TMS320C5416 of Texas Instruments

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Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)

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