Download Advances in Chinese Spoken Language Processing by Chin-hue Lee, Haizhou Li, Lin-shan Lee, Ren-hua Wang, Qiang PDF

By Chin-hue Lee, Haizhou Li, Lin-shan Lee, Ren-hua Wang, Qiang Huo

After a long time of study task, chinese language spoken language processing (CSLP) has complex significantly either in sensible expertise and theoretical discovery. during this booklet, the editors supply either an advent to the sector in addition to precise study issues of their options in a number of components of CSLP. The contributions characterize pioneering efforts starting from CSLP rules to applied sciences and purposes, with every one bankruptcy encapsulating a unmarried challenge and its recommendations.

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Extra resources for Advances in Chinese Spoken Language Processing

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Tapering the edges of the window allows its periodic shifting (at the update frame rate) along without having large effects on the resulting speech parameters due to pitch period boundaries. 2. Short-Time Average Zero-Crossing Rate Speech analysis that attempts to estimate spectral features usually requires a Fourier transform. However, a simple measure called the zero-crossing rate (ZCR) provides basic spectral information in some applications at low cost. , changes algebraic sign). , sinusoids), the ZCR can accurately measure the frequency where power is concentrated.

They should be used distinctively because they are not always consistent with each other even in their values. As mentioned above, pitch is not only a function of the frequency of a sound, but also dependent on the intensity and composition. This phenomenon is clearly seen in producing and perceiving Chinese tones. For instance, you can produce a low tone (Tone 3) of Mandarin Chinese by lowering the power of the sound instead of the fundamental frequency. Experiments have shown that many foreign students who can pronounce good Chinese tones often manipulate the sound power when generating the low tone.

It can be shown that LPC analysis is equivalent to a type of spectral analysis where the linear frequency scale is involved. However, auditory processing of sounds in the ear exploits the Mel instead of linear frequency scale. Further, various nonlinear properties in the ear are not Speech Analysis: The Production-Perception Perspective 27 exploited in the LPC analysis. Some of these auditory properties have been incorporated into the LPC analysis, resulting in the analysis method called perceptual linear prediction (PLP).

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