泰米尔语中字母“zha”的实时语音识别

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI:10.1109/ICCCNT.2013.6726857

A. Srinivasan

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引用次数: 4

摘要

本文的目的是对泰米尔语中字母“zha”的说话人识别，其中包括比较来自未知说话人的语音信号和来自已知说话人的语音信号。男性和女性说话者的“咋”字语音信号通过一种名为Mel频率倒频谱系数(MFCC)的矢量量化(VQ)技术进行识别。记录的采样频率为16khz，比特率为15450比特/秒，其中原始比特率为128K比特/秒，借助冲浪音频工具。利用有限傅里叶变换(FFT)获取实时识别输出，并利用Mel频率倒谱系数和矢量量化对结果进行比较。在MATLAB中对说话人识别系统的结果进行了分析。

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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Real time speaker recognition of letter ‘zha’ in Tamil language

The aim of this paper is speaker recognition of the letter `zha' in Tamil language, which consists of comparing a speech signal from an unknown speaker to a known speaker. The speech signals of the letter `zha' of male and female speakers are recognized by the Vector Quantization (VQ) technique called Mel Frequency Cepstrum Coefficients (MFCC). The recorded sampling frequency was at 16 kHz and the bit rate was at 15450 bits per second, where the original bit rate was at 128K bits per second with the help of wave surfer audio tool. The real time recognized output is taken by using Finite Fourier Transform (FFT) and this result is compared by using Mel Frequency Cepstral coefficients and vector Quantization. The speaker recognition system results are analyzed in MATLAB.

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2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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