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Harmonic representation and auditory model-based parametric matching and its application in speech/audio analysis

机译:基于谐波表示和听觉模型的参数匹配及其在语音/音频分析中的应用

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The paper presents new methods for the selection of sinusoids and transients components in hybrid sinusoidal modeling of speech/audio. The instantaneous harmonic parameters (magnitude, frequency and phase) are calculated as the result of the narrow band filtering of speech/audio. The frequency-modulated filters synthesis with the closed form impulse response has been proposed. The filter frequency bounds can be determined during the components frequency tracking and can be adjusted according to the fundamental frequency modulations. It can be implemented speech/audio harmonic/noise decomposition. The transient components modeling are presented by matching pursuit with frame-based psychoacoustic optimized wavelet packet dictionary. The choice of most relevant coefficients is based on maximizing the matching between the auditory excitation scalograms of original and modeled signals.
机译:本文介绍了语音/音频混合正弦模型中的正弦型和瞬变组分的新方法。作为语音/音频的窄带滤波的结果计算瞬时谐波参数(幅度,频率和阶段)。已经提出了具有闭合形式脉冲响应的频率调制过滤器合成。可以在组件频率跟踪期间确定滤波器频率界限,并且可以根据基频调制来调整。它可以实现语音/音频谐波/噪声分解。通过匹配基于帧的心理声学优化小波包字典的匹配追求来呈现瞬态组件建模。大多数相关系数的选择是基于最大化原始和建模信号的听觉激励缩放之间的匹配。

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