An improved spectral subtraction algorithm based on auditory masking in voice human-computer interaction

J. Lu, Ping Wang, S. Yu, C. Lu
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引用次数: 3

Abstract

As the primary research area of the Multimoda1 Human-computer Interaction, Voice Interaction mainly involves extraction and identification of the natural speech signal, where the former provides the reliable signal sources, which are analyzed by the latter. The speech enhancement technology is studied in this paper, aiming at the Voice Interactive. We propose an improved spectral subtraction (SS) algorithm based on auditory masking effect. The simulated results compared to the traditional SS show the effectiveness and superiority of the improved algorithm.
语音人机交互中基于听觉掩蔽的改进谱减算法
语音交互作为多模态人机交互的主要研究领域,主要涉及自然语音信号的提取和识别,前者提供可靠的信号源,后者对信号源进行分析。本文以语音交互为目标,对语音增强技术进行了研究。提出了一种改进的基于听觉掩蔽效应的谱减法算法。仿真结果表明,改进算法的有效性和优越性。
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