Toward completely automated vowel extraction: Introducing DARLA

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Sravana Reddy ◽  
James N. Stanford
Keyword(s):  
Information Systems ◽  
Speech Recognition ◽  
Everyday Life ◽  
Automatic Speech Recognition ◽  
Speech Technology ◽  
Closed Captioning ◽  
New Methods ◽  
Vowel Formant

AbstractAutomatic Speech Recognition (ASR) is reaching further and further into everyday life with Apple’s Siri, Google voice search, automated telephone information systems, dictation devices, closed captioning, and other applications. Along with such advances in speech technology, sociolinguists have been considering new methods for alignment and vowel formant extraction, including techniques like the Penn Aligner (

scholarly journals A New Digital Solution Helps Automatic Voice Recognition

2018 ◽  
Vol 7 (3.4) ◽  
pp. 177
Author(s):  
M ABOULKHIR ◽  
S BOUREKKADI ◽  
S KHOULJI ◽  
K SLIMANI ◽  
M L. KERKEB
Keyword(s):  
Information Systems ◽  
Speech Recognition ◽  
Programming Language ◽  
Automatic Speech Recognition ◽  
Systems Engineering ◽  
Research Group ◽  
Voice Recognition ◽  
Scientific Work ◽  
Home Automation ◽  
Engineering Research

This scientific work concerning an examination on automatic speech recognition (ASR) frameworks connected with the home automation and to express the importance of this academic work, an itemized investigation of the engineering of speech recognition frameworks was completed. Our goal in Information Systems Engineering Research Group ofAbdelmalekEssaadi University is to choose a speech recognition programming that must work in remote speech conditions and in a rowdy area.The proposed framework is using atoolbox called Kaldi, which must correspond as aclient created by an advanced programming language, with any home automation framework. 

Using Clinician Annotations to Improve Automatic Speech Recognition of Stuttered Speech

2016 ◽  
Author(s):  
Peter A. Heeman ◽  
Rebecca Lunsford ◽  
Andy McMillin ◽  
J. Scott Yaruss
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition

Multi-Scale Context Adaptation for Improving Child Automatic Speech Recognition in Child-Adult Spoken Interactions

2017 ◽  
Author(s):  
Manoj Kumar ◽  
Daniel Bone ◽  
Kelly McWilliams ◽  
Shanna Williams ◽  
Thomas D. Lyon ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Context Adaptation ◽  
Multi Scale

Phoneme-to-Grapheme Conversion Based Large-Scale Pre-Training for End-to-End Automatic Speech Recognition

2020 ◽  
Author(s):  
Ryo Masumura ◽  
Naoki Makishima ◽  
Mana Ihori ◽  
Akihiko Takashima ◽  
Tomohiro Tanaka ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Large Scale ◽  
End To End
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