Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah

Automated speech recognition (ASR) for spontaneous speech poses extra challenge compared to read speech as it contains varied speaking rates, poor phonation and disfluencies. Studies have shown that filled pause is one of the most common disfluencies of spontaneous speech characteristic where it pre...

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Bibliographic Details
Main Author:	Hamzah, Raseeda
Format:	Book Section
Language:	English
Published:	Institute of Graduate Studies, UiTM 2016
Subjects:	Malaysia Malay language. General works. History
Online Access:	http://ir.uitm.edu.my/id/eprint/20064/ http://ir.uitm.edu.my/id/eprint/20064/1/ABS_RASEEDA%20HAMZAH%20TDRA%20VOL%2010%20IGS%2016.pdf

id	uitm-20064
recordtype	eprints
spelling	uitm-200642018-06-11T03:55:39Z http://ir.uitm.edu.my/id/eprint/20064/ Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah Hamzah, Raseeda Malaysia Malay language. General works. History Automated speech recognition (ASR) for spontaneous speech poses extra challenge compared to read speech as it contains varied speaking rates, poor phonation and disfluencies. Studies have shown that filled pause is one of the most common disfluencies of spontaneous speech characteristic where it presents considerable problems for ASR performance. In many filled pause studies, the hindering factor is that filled pause being often recognized as short words which particularly has semantic meaning, such as „um” can be recognized as „thumb” or „arm”. This problem becomes especially pertinent where a vowel sound of normal word being relatively long at any position in an utterance, both within a word as well as between words which formerly known as elongation. The existence of elongation causes normal word falsely detected as filled pause due to their similar acoustical feature patterns. Classifying elongation as filled pause affects ASR”s performance as eliminating normal words from recognition may modify the intended context of a speech. Therefore, the main aim of this research is to classify filled pause and elongation into its own classes by constructing a discriminative classification model from the extracted acoustical features. A large number of signal features have been employed for the problem of discriminating filled pause and elongation. Several wellestablished features such as Formant Frequency (FF), Fundamental Frequency (F0), Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rates (ZCR) and Short Time Energy (STE) were used in this research. These features are carefully chosen to emphasize signal characteristics that differ between filled pause and elongation… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/20064/1/ABS_RASEEDA%20HAMZAH%20TDRA%20VOL%2010%20IGS%2016.pdf Hamzah, Raseeda (2016) Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah. In: The Doctoral Research Abstracts. IGS Biannual Publication, 10 (10). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia Malay language. General works. History
spellingShingle	Malaysia Malay language. General works. History Hamzah, Raseeda Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah
description	Automated speech recognition (ASR) for spontaneous speech poses extra challenge compared to read speech as it contains varied speaking rates, poor phonation and disfluencies. Studies have shown that filled pause is one of the most common disfluencies of spontaneous speech characteristic where it presents considerable problems for ASR performance. In many filled pause studies, the hindering factor is that filled pause being often recognized as short words which particularly has semantic meaning, such as „um” can be recognized as „thumb” or „arm”. This problem becomes especially pertinent where a vowel sound of normal word being relatively long at any position in an utterance, both within a word as well as between words which formerly known as elongation. The existence of elongation causes normal word falsely detected as filled pause due to their similar acoustical feature patterns. Classifying elongation as filled pause affects ASR”s performance as eliminating normal words from recognition may modify the intended context of a speech. Therefore, the main aim of this research is to classify filled pause and elongation into its own classes by constructing a discriminative classification model from the extracted acoustical features. A large number of signal features have been employed for the problem of discriminating filled pause and elongation. Several wellestablished features such as Formant Frequency (FF), Fundamental Frequency (F0), Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rates (ZCR) and Short Time Energy (STE) were used in this research. These features are carefully chosen to emphasize signal characteristics that differ between filled pause and elongation…
format	Book Section
author	Hamzah, Raseeda
author_facet	Hamzah, Raseeda
author_sort	Hamzah, Raseeda
title	Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah
title_short	Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah
title_full	Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah
title_fullStr	Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah
title_full_unstemmed	Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah
title_sort	discriminative classification model of filled pause and elongation for malay language spontaneous speech / raseeda hamzah
publisher	Institute of Graduate Studies, UiTM
publishDate	2016
url	http://ir.uitm.edu.my/id/eprint/20064/ http://ir.uitm.edu.my/id/eprint/20064/1/ABS_RASEEDA%20HAMZAH%20TDRA%20VOL%2010%20IGS%2016.pdf
first_indexed	2023-09-18T23:03:53Z
last_indexed	2023-09-18T23:03:53Z
_version_	1777418354071437312

Discriminative classification model of filled pause and elongation for Malay language spontaneous speech / Raseeda Hamzah

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