一种不利用信号预测的语音压缩方法。

IF 2.4 4区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
I-Perception Pub Date : 2025-05-21 eCollection Date: 2025-05-01 DOI:10.1177/20416695251340236
Ikuo Matsuo, Kazuo Ueda, Yoshitaka Nakajima
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引用次数: 0

摘要

以往实用的语音压缩方法都是基于信号预测,考虑了听觉功能,但忽略了语音信号特有的特征。提出了一种新的方法,利用不同语言共有的频谱因子对应的四个频带的幅度包络来调制无限峰削信号,该方法也揭示了无限峰削信号中包含有用的语言信息。在初步实验中,在有限信息仅为2400比特/秒(bps)的情况下,可理解度达到80%,而原始信号的比特率为25.6万bps。该算法既保留了语音的自然性,又易于直观地掌握。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A speech compression method without utilizing signal prediction.

Previous speech compression methods for practical purposes had been based on signal prediction, taking the auditory functions into account but overlooking features specific to speech signals. A new method was developed in which amplitude envelopes in four frequency bands corresponding to spectral factors common to different languages were used to modulate infinitely peak-clipped signals, which also had been revealed to contain useful linguistic information. In a pilot experiment, intelligibility reached ~80% with limited information of only 2,400 bits per second (bps), whereas the bit rate of the original signal was 256,000 bps. This algorithm preserves the naturalness of speech and is easy to grasp intuitively.

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来源期刊
I-Perception
I-Perception PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.30
自引率
5.30%
发文量
39
审稿时长
12 weeks
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