Universiti Teknologi Malaysia Institutional Repository

Automatic phonetic segmentation of malay speech database

Ting, Chee Ming and Shaikh Salleh, Sheikh Hussain and Tan, Tian Swee and Ariff, Ahmad Kamarul (2007) Automatic phonetic segmentation of malay speech database. In: Information, Communications & Signal Processing, 2007 6th International Conference, 10-13 Dec 2007, Singapore.

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Official URL: http://dx.doi.org/10.1109/ICICS.2007.4449574


This paper deals with automatic phonetic segmentation for Malay continuous speech. This study investigates fast and automatic phone segmentation in preparing database for Malay concatenative Text-to-Speech (TTS) systems. A 35 Malay phone set has been chosen, which is suitable for building Malay TTS. The segmentation experiment is based on this phone set. HMM based segmentation approach which uses Viterbi force alignment technique is adapted. We use continuous density HMM (CDHMM) with Gaussian mixture which is performs well in speech recognition to prevent large segmentation errors. Besides, this paper presents an implicit boundary refinement method that is incorporated in the Viterbi phonetic alignment. In this approach, the HMM model is trained with phone tokens with their boundaries extended to the be-side phones. This increases the ability of the HMM in modeling phone boundaries and provides effect of implicit boundary refinement when used in phonetic alignment thus reduce segmentation errors. This approach improves increase the performance of baseline HMM segmentation from 42.39%, 74.83%, 84.34% of automatic boundary marks within error smaller than 5, 15, and 25ms to 47.75%, 76.38%, 85.55%.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Gaussian mixture, HMM based segmentation, malay concatenative text-to-speech systems, malay continuous speech, malay phone set, malay speech database, viterbi force alignment technique, viterbi phonetic alignment, automatic phone segmentation, automatic phonetic segmentation, baseline HMM segmentation, be-side phones, continuous density HMM, hidden Markov models, implicit boundary refinement method, phone boundaries, phone tokens, segmentation errors, speech recognition, speech synthesis
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:7635
Deposited By: Norhafizah Hussin
Deposited On:12 Jan 2009 08:44
Last Modified:01 Jun 2010 15:54

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