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In this paper, rich prosodic information of spontaneous Mandarin speech is explored. The joint prosody labeling and modeling algorithm proposed previously for read speech is extended to spontaneous-speech prosody modeling by additionally considering the modeling of disfluency speech parts. It trains a hierarchical prosodic model and performs prosody labeling from a large speech corpus automatically...
A new data-driven approach to building a speaking rate-dependent hierarchical prosodic model (SR-HPM), directly from a large prosody-unlabeled speech database containing utterances of various speaking rates, to describe the influences of speaking rate on Mandarin speech prosody is proposed. It is an extended version of the existing HPM model which contains 12 sub-models to describe various relationships...
A first study on Hakka and mixed Hakka-Mandarin speech recognition (SR) is reported in this paper. The main focus of the study is on solving the problem of the lack of a large text corpus for training a reliable language model. In the Hakka SR, several methods to use the information of part of speech and Hakka-Chinese word translation to assist in language modeling are proposed. For mixed language...
In this paper, the prosody of a parallel multispeaking rate Mandarin read speech corpus is investigated. The corpus contains four parallel speech datasets uttered by a female professional announcer with various speech rates (SRs) of 4.40 (fast), 3.82 (normal), 2.97 (median) and 2.45 (slow) syllables/second. By using the unsupervised joint prosody labeling and modeling (PLM) method proposed previously,...
In this paper, a new similarity measure between HMM models which extended the well-known Kullback-Leibler distance was proposed. The Kullback-Leibler distance was defined as the mean of log-likelihood ratio (LLR) in a hypotheses test and the Kullback-Leibler distance was frequently used as a similarity measure for HMM models. Here, the standard deviation of LLR between HMM models was deviated first...
In this paper, a new approach to syllable-based modeling of FO contour, duration and energy for isolated Mandarin words is proposed. The syllable FO contour model considers three major affecting factors, including lexical tone, syllable position in a word and inter-syllable coarticulation effect; while both the duration and energy models additionally consider one more affecting factor of base syllable...
In this paper, a supervised neural network based signal change-point detector is proposed. The proposed detector uses some high order statistics of log-likelihood difference functions as the input features in order to improve the detection performance. These high order statistics can be easily calculated from the CCGMM coefficients of signals. Performance of the proposed signal change-point detector...
In this paper, the high-level prosodic patterns of prosodic word (PW), prosodic phrase (PPh) and breath group/prosodic phrase group (BQ/PQ) for syllable pitch-level and duration are explored using an automatic joint prosody labeling and modeling method. Experimental results on a treebank speech corpus showed that the explored high-level prosodic patterns not only matched well with our a priori knowledge...
The major difficulty of prosody modeling and automatic tone recognition of continuous Mandarin speech is the complex interaction of tones and prosody/intonation on FO contours. In this study, we propose a latent prosody model (LPM) aiming to jointly model the affections of tone and prosody state on FO. The main purposes are twofold including (1) automatic prosody state labeling and (2) improving tone...
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