By Chin-hue Lee, Haizhou Li, Lin-shan Lee, Ren-hua Wang, Qiang Huo
After many years of analysis job, chinese language spoken language processing (CSLP) has complicated significantly either in sensible expertise and theoretical discovery. during this booklet, the editors supply either an creation to the sector in addition to distinctive examine issues of their strategies in a number of components of CSLP. The contributions characterize pioneering efforts starting from CSLP rules to applied sciences and functions, with every one bankruptcy encapsulating a unmarried challenge and its options.
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Extra info for Advances in Chinese Spoken Language Processing
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3. Formants and their Automatic Extraction The main objective of speech analysis is to automatically extract essential parameters of the acoustic structure from the speech signal. This process serves the purpose of either data reduction or identification and enhancement of information-bearing elements contained in the speech signal. To determine what such information-bearing elements are, one needs to have sufficient knowledge about the physical nature of the speech signal. Such knowledge is often provided by a production model that describes how the observed speech signal is generated as the output of a vocal-tract digital filter given an input source.
Due to this linkage, humans have a robust capability to adapt them in adverse environments and to extract the relevant linguistic and paralinguistic information. Many engineering techniques Speech Analysis: The Production-Perception Perspective 19 for analyzing speech have been motivated, directly or indirectly, by the speech production and/or perception mechanisms discussed in this section. 5. Introduction to Speech Analysis The previous sections in this chapter focused on how humans process speech.
Advances in Chinese Spoken Language Processing by Chin-hue Lee, Haizhou Li, Lin-shan Lee, Ren-hua Wang, Qiang Huo