The Analysis and Application of the Third Dimension Speech Signal Spectrum

Abstract:

As to the speech signal processing problems under the complex voice environment, the characters of speech harmonic and the structure of voiced harmonic are discussed in this paper. In the third dimension frequency domain, quadratic Fourier transform algorithm based on logarithmic amplitude-frequency characteristics is used to propose the concept of the third dimension spectral harmonic ratio" by the behavior of the quasi-sinusoidal characteristics of the speech short-time Fourier spectrum slicing, which is cosider to be an important basis to discriminate speech activity detection. The concept of third dimension spectral harmonic ratio maks the speech signal as a special signal, and separate from the other noise signal completely. For voice noise outside the speech segment, it is no longer need to discuss its own characteristics and without the need for pre-processing to shield the noise accurately, which bring new ideas for the speech signal detection in the complex noise environment.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 376-382
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.376
• Online since: October 2013
• Authors: Gang Niu, Wen Bin Cao, Ya Jun Zhang, Guo Shun Chen, Qian Kun Yang
• Keywords: Complex Noise Environment, Quadratic Fourier Transform, Structure of Voiced Harmonic, Third Dimension Spectral Domain, Third Dimension Spectral Harmonic Ratio

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