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Automatic segmentation of speech

IEEE Transactions on Signal Processing, 1991
A method for automatic segmentation of speech into phones is described. The incoming utterance is split up into more or less stationary parts, and these stationary parts are labelled as phones using the phonetic transcription of the utterance. An implicit segmentation algorithm splits up the utterance into segments on the basis of the degree of ...
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Subtopic segmentation in the lecture speech

Interspeech 2004, 2004
This paper proposes a method of segmentation that segments lecture videomaterial into subtopics based on speech signals for creation of educational video contents. To represent subtopics of video segments, the text recognized by automatic speech recognition (ASR) from a lecture speech was converted into an index using independent component analysis ...
Noboru Kanedera   +3 more
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Phonemic segmentation of fluent speech

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
A hierarchical approach to phonemic segmentation of continuous, speaker-independent speech is presented. Each sentence is divided into distinct obstruent and sonorant regions using a Bayesian decision surface. Rules are then used to make context specific corrections with these regions.
David B. Grayden, Michael S. Scordilis
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Evolutionary algorithm for speech segmentation

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
Speech segmentation is one of the problems in the speech processing area. The main techniques that attempt to solve it are manual segmentation and hidden Markov model alignment. In this work a new technique based on an evolutionary algorithm that permits to segment the speech without a previous training process is presented.
Diego H. Milone   +2 more
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On the automatic segmentation of speech signals

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
For large vocabulary and continuous speech recognition, the sub-word-unit-based approach is a viable alternative to the whole-word-unit-based approach. For preparing a large inventory of subword units, an automatic segmentation is preferrable to manual segmentation as it substantially reduces the work associated with the generation of templates and ...
Torbjørn Svendsen, Frank K. Soong
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Automatic Speech Segmentation for Automatic Speech Translation

2013
The article presents selected, effective speech signal processing algorithms and their use in order to improve the automatic speech translation. Automatic speech translation uses natural language processing techniques implemented using algorithms of automatic speech recognition, speaker recognition, automatic text translation and text-to-speech ...
Piotr Klosowski, Adam Dustor
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Automatic Segmentation in Speech Synthesis

The Journal of the Acoustical Society of America, 2009
Systems and methods for automatically segmenting speech inventories. A set of Hidden Markov Models (HMMs) are initialized using bootstrap data. The HMMs are next re-estimated and aligned to produce phone labels. The phone boundaries of the phone labels are then corrected using spectral boundary correction. Optionally, this process of using the spectral-
Alistair D. Conkie, Yeon-Jun Kim
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Segmentation of Speech

2018
Spoken language is typically produced in a continuous stream, with the realization of phonemes influenced by adjacent sounds (coarticulation) and few silent boundaries between words. Despite these problems of variability and continuity, listeners generally perceive speech as a coherent sequence of discrete words.
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Literacy training and speech segmentation

Cognition, 1986
Abstract New groups of illiterate and ex-illiterate adults, comparable to those of Morais et. al (1979), were given a battery of tasks designed to assess the specificity of the effect of literacy training on speech segmentation. As in the previous study, a strong difference was observed between the two groups on the task of deleting the initial ...
Morais, Jose   +3 more
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Automatic segmentation and labeling of speech

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
The authors investigate an automatic approach to segmentation of labeled speech and labeling and segmentation of speech when only the orthographic transcription of speech is available. The technique is based on a phone recognition system based on a trigram phonotactic model, gamma distribution phone duration models, and a spectral model based on five ...
Andrej Ljolje, Michael Riley 0001
openaire   +1 more source

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