scholarly journals Automatic speech recognition by using local adaptive thresholding in continuous speech segmentation

2021 ◽  
Vol 1943 (1) ◽  
pp. 012107
Author(s):  
S N Endah ◽  
R Kusumaningrum ◽  
S Adhy ◽  
R A Ulfattah
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Speech Segmentation ◽  
Adaptive Thresholding ◽  
Continuous Speech

A Robust TEO-Based Speech Segmentation Method For Automatic Speech Recognition

2016 ◽  
Author(s):  
Igor S. Peretta ◽  
Gerson F. M. Lima ◽  
Josimeire Tavares ◽  
Keiji Yamanaka
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Speech Segmentation ◽  
Segmentation Method

scholarly journals The speech signal segmentation algorithm using pitch synchronous analysis

2017 ◽  
Vol 7 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Yedilkhan Amirgaliyev ◽  
Minsoo Hahn ◽  
Timur Mussabayev
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Energy Function ◽  
Speech Signal ◽  
Spectral Characteristics ◽  
Speech Segmentation ◽  
Signal Energy ◽  
Signal Segmentation ◽  
Pitch Frequency ◽  
Pitch Synchronous Analysis

Abstract Parameterization of the speech signal using the algorithms of analysis synchronized with the pitch frequency is discussed. Speech parameterization is performed by the average number of zero transitions function and the signal energy function. Parameterization results are used to segment the speech signal and to isolate the segments with stable spectral characteristics. Segmentation results can be used to generate a digital voice pattern of a person or be applied in the automatic speech recognition. Stages needed for continuous speech segmentation are described.

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