Semantic Analysis and Organization of Spoken Documents Based on Parameters Derived From Latent Topics

Spoken documents are audio signals and are thus not easily displayed on-screen and not easily scanned and browsed by the user. It is therefore highly desirable to automatically construct summaries, titles, latent topic trees and key term-based topic labels for these spoken documents to aid the user...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2011-09, Vol.19 (7), p.1875-1889
Hauptverfasser:	KONG, Sheng-Yi, LEE, Lin-Shan
Format:	Artikel
Sprache:	eng
Schlagworte:	Allocations Applied sciences Audio signals Dirichlet problem Entropy Exact sciences and technology Experiments Information theory Information, signal and communications theory Latent semantic analysis (LSA) latent topic organization Mandarins Multimedia communication Networks Organizations Probabilistic logic Semantics Signal and communications theory Signal representation. Spectral analysis Signal, noise Speech Speech recognition spoken document understanding Studies Telecommunications and information theory Training
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