Automatic speech segmentation using throat-acoustic correlation coefficients

Automatic speech segmentation using throat-acoustic correlation coefficients

This work considers one of the approaches to the solution of the task of discrete speech signal automatic segmentation. The aim of this work is to construct such an algorithm which should meet the following requirements: segmentation of a signal into acoustically homogeneous segments, high accuracy...

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Bibliographic Details
Main Authors: Mussabayev Rustam Rafikovich, Kalimoldayev Maksat N., Amirgaliyev Yedilkhan N., Mussabayev Timur R.
Format: Article
Language:English
Published: De Gruyter 2016-11-01
Series:Open Engineering
Subjects:
TAC coefficients
throat microphone
multisensory speech processing
speech segmentation
speech recognition
speech synthesis
multimodal recognition
acoustic sub-word units
joint analysis of throat and acoustic microphone signals
correlation analysis
Online Access:http://www.degruyter.com/view/j/eng.2016.6.issue-1/eng-2016-0039/eng-2016-0039.xml?format=INT

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http://www.degruyter.com/view/j/eng.2016.6.issue-1/eng-2016-0039/eng-2016-0039.xml?format=INT

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