An improved psycho-acoustic model for MPEG 1 using a Morlet Cambridge wavelet

K. Abid, K. Ouni
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引用次数: 2

Abstract

Many existing MP3 encoder employ an FFT-based transform to derive a spectral decomposition of the audio signal into uniform subbands with equal bandwidths. The nonuniform spectral resolution of the auditory system is taken into account. The initial audio signal processing within the psycho-acoustic model consists of a spectral decomposition to account for the frequency selectivity of the auditory system. However, the auditory system performs a nonuniform spectral decomposition of the acoustic signal in the cochlea. This paper presents a psycho-acoustic model based on an efficient nonuniform cochlear filter bank following the Cambridge model. Results of the proposed psycho-acoustic model applied to audio coding show better performance in terms of compression ratio and sound quality in comparison with the classical FFT model
基于Morlet剑桥小波的mpeg1改进心理声学模型
许多现有的MP3编码器采用基于fft的变换,将音频信号的频谱分解为带宽相等的均匀子带。考虑了听觉系统的非均匀光谱分辨率。心理声学模型中的初始音频信号处理由频谱分解组成,以考虑听觉系统的频率选择性。然而,听觉系统对耳蜗中的声信号进行非均匀的频谱分解。根据剑桥模型,提出了一种基于高效非均匀耳蜗滤波器组的心理声学模型。将心理声学模型应用于音频编码,结果表明,与经典FFT模型相比,该模型在压缩比和音质方面具有更好的性能
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