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» Automatic speech recognition system channel modeling
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ICASSP
2008
IEEE
15 years 4 months ago
Improved GMM-based language recognition using constrained MLLR transforms
In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
Wade Shen, Douglas A. Reynolds
CORR
1998
Springer
153views Education» more  CORR 1998»
14 years 9 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen
ADL
1998
Springer
164views Digital Library» more  ADL 1998»
15 years 2 months ago
Story Segmentation and Detection of Commercials in Broadcast News Video
The Informedia Digital Library Project [Wactlar96] allows full content indexing and retrieval of text, audio and video material. Segmentation is an integral process in the Informe...
Alexander G. Hauptmann, Michael J. Witbrock
CSL
1999
Springer
14 years 9 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland
MM
2009
ACM
125views Multimedia» more  MM 2009»
15 years 4 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben