scholarly journals Brain-inspired speech segmentation for automatic speech recognition using the speech envelope as a temporal reference

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Byeongwook Lee ◽  
Kwang-Hyun Cho
2016 ◽  
Author(s):  
Igor S. Peretta ◽  
Gerson F. M. Lima ◽  
Josimeire Tavares ◽  
Keiji Yamanaka

2017 ◽  
Vol 7 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Yedilkhan Amirgaliyev ◽  
Minsoo Hahn ◽  
Timur Mussabayev

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.


Author(s):  
Peter A. Heeman ◽  
Rebecca Lunsford ◽  
Andy McMillin ◽  
J. Scott Yaruss

Author(s):  
Manoj Kumar ◽  
Daniel Bone ◽  
Kelly McWilliams ◽  
Shanna Williams ◽  
Thomas D. Lyon ◽  
...  

2020 ◽  
Author(s):  
Ryo Masumura ◽  
Naoki Makishima ◽  
Mana Ihori ◽  
Akihiko Takashima ◽  
Tomohiro Tanaka ◽  
...  

2019 ◽  
Author(s):  
Jack Serrino ◽  
Leonid Velikovich ◽  
Petar Aleksic ◽  
Cyril Allauzen

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