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Effective Tonality Detection Algorithm Based on Spectrum Energy in Perceptual Audio Coder

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The goal of perceptual audio coder is to reduce redundancy and irrelevancy of audio signal based on the concept of masking. Several studies on masking effect reveal that the masking threshold varies as a function of the noise-like or tone-like nature of audio signals. Therefore, tonality of audio signal influences significantly the quality and efficiency of perceptual audio coder. In this paper, we proposed a new effective algorithm for tonality measure using spectrum energy. The performance of the proposed algorithm is comparable to the MPEG audio psychoacoustic model II (PAM-II). However, since the proposed algorithm consists of simple operations plus a few transcendental functions, computational complexity is much lower than the PAM-II. The proposed algorithm was tested with audio signals, and DSP implementation showed that the proposed algorithm could be implemented with 2.88 MIPS.

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