Presentation 2012/12/13
An Ivestigation of Clustering Methods using Speaker-Class Models in Lecture Speech Recognition
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we have examined speaker clustering method using more than 100 clusters in order to improve the performance of spontaneous speech recognition. In this method, we use a soft clustering algorithm that allows a speaker to belong to more than one cluster in order to prevent a decrease in amount of training data per cluster. In the recognition procedure, the system needs to select one recognition result from the results of each speaker-class model. The selection can be conducted on the basis of the maximum likelihood among speaker-class model. In this work, we carry out two types of selection method; one is the method that selects the model every speaker and the other is the method that selects the model every utterance. The evaluation is conducted on CSJ (Corpus of Spontaneous Japanese). As the results, a word error rate of 21.08% was obtained in the baseline experiment. Meanwhile, 20.59%(selection every speaker) and 20.69%(selection every utterance) were obtained by using the proposed method. The results showed that the proposed method was effective for spontaneous speech recognition.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) LVCSR / speaker-class model / hard clustering / soft clustering
Paper # SLP-94
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Conference Information
Committee SP
Conference Date 2012/12/13(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Ivestigation of Clustering Methods using Speaker-Class Models in Lecture Speech Recognition
Sub Title (in English)
Keyword(1) LVCSR
Keyword(2) speaker-class model
Keyword(3) hard clustering
Keyword(4) soft clustering
1st Author's Name
1st Author's Affiliation Yamagata University()
Date 2012/12/13
Paper # SLP-94
Volume (vol) vol.112
Number (no) 369
Page pp.pp.-
#Pages 6
Date of Issue