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Signal representation for speech sep...

Huang, Ying.

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Signal representation for speech separation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Signal representation for speech separation./
作者:	Huang, Ying.
面頁冊數:	115 p.
附註:	Source: Masters Abstracts International, Volume: 43-06, page: 2340.
Contained By:	Masters Abstracts International43-06.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR01819
ISBN:	9780494018194

Signal representation for speech separation.
Huang, Ying.

Signal representation for speech separation. - 115 p.

Source: Masters Abstracts International, Volume: 43-06, page: 2340.

Thesis (M.Sc.)--University of Guelph (Canada), 2005.

The development of next-generation speech enhancement systems depends on new forms of speech representation that can capture the non-stationarity of speech signal in a way amiable to element-based signal separation processing. Research in this thesis focuses on developing new structure-revealing signal representations that can meet this challenge. The idea is first investigated in developing a Gabor-atom based time-frequency component signal representation. Problems encountered in this stage of investigation lead to the main focal point of the research: the development of a new chirp-decomposition method suitable for speech-like multi-component signal analysis. Research starts from polynomial phase signal (PPS) analysis, followed by studying the complex ambiguity function (CAF) time-frequency distribution for chirp detection. Two new chirp detection algorithms are proposed. One is the principal-chirp Wigner-Hough (PC-WH) transform and another one is the ambiguity auto-term ridge (AAR) detection algorithm. The potential for using the resulting chirp-graph for speech separation is demonstrated in a new speech enhancement system.

ISBN: 9780494018194Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Signal representation for speech separation.
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