Design and Realization of Music Recognition Based on Speech Recognition

Yu-bin Zhong, Yi Xiang
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引用次数: 2

Abstract

This paper propounds a new music recognition method which is based on singing splitting, MFCC characteristic parameter and BP Neural Network, and the origin of this idea comes from speech recognition. Firstly, fundamentals and key techniques of speech recognition are presented. In what flows is a brief introduction to a music recognition system that is designed and implemented by comparing speech recognition and music recognition. Then, we illustrate applications of BP neural network in music recognition. Finally, 10 English songs are chosen as experiment subjects and are inputted into the music recognition system. The experiment results show that this music recognition method which combines speech recognition can effectively recognize music signals.
基于语音识别的音乐识别设计与实现
本文提出了一种基于歌唱分割、MFCC特征参数和BP神经网络的音乐识别新方法,该方法的思想来源于语音识别。首先,介绍了语音识别的基本原理和关键技术。本文通过对语音识别和音乐识别的比较,简要介绍了一个音乐识别系统的设计与实现。然后介绍了BP神经网络在音乐识别中的应用。最后选取10首英文歌曲作为实验对象,输入到音乐识别系统中。实验结果表明,这种结合语音识别的音乐识别方法能够有效地识别音乐信号。
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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