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Additional file 1: of Dog vaccination with EgM proteins against Echinococcus granulosus ...
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Additional file 1: of Dog vaccination with EgM proteins against Echinococcus granulosus ...
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Automatic Prediction of Intelligible Speaking Rate for Individuals with ALS from Speech Acoustic and Articulatory Samples
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24 |
Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulation
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25 |
Predicting Speech Intelligibility Decline in Amyotrophic Lateral Sclerosis Based on the Deterioration of Individual Speech Subsystems
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26 |
Humour translation in subtitling: a comparative study of the two translated version of The Big Bang Theory
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Wang, Jun. - : The University of Queensland, School of Languages and Cultures, 2017
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27 |
Recognizing Whispered Speech Produced by an Individual with Surgically Reconstructed Larynx Using Articulatory Movement Data
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Abstract:
Individuals with larynx (vocal folds) impaired have problems in controlling their glottal vibration, producing whispered speech with extreme hoarseness. Standard automatic speech recognition using only acoustic cues is typically ineffective for whispered speech because the corresponding spectral characteristics are distorted. Articulatory cues such as the tongue and lip motion may help in recognizing whispered speech since articulatory motion patterns are generally not affected. In this paper, we investigated whispered speech recognition for patients with reconstructed larynx using articulatory movement data. A data set with both acoustic and articulatory motion data was collected from a patient with surgically reconstructed larynx using an electromagnetic articulograph. Two speech recognition systems, Gaussian mixture model-hidden Markov model (GMM-HMM) and deep neural network-HMM (DNN-HMM), were used in the experiments. Experimental results showed adding either tongue or lip motion data to acoustic features such as mel-frequency cepstral coefficient (MFCC) significantly reduced the phone error rates on both speech recognition systems. Adding both tongue and lip data achieved the best performance.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800526/ https://doi.org/10.21437/SLPAT.2016-14
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28 |
Predicting Speech Intelligibility Decline in Amyotrophic Lateral Sclerosis Based on the Deterioration of Individual Speech Subsystems
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In: Special Education and Communication Disorders Faculty Publications (2016)
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Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach
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Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach
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31 |
A washback investigation of the national matriculation English test in China from the perspective of test-takers' attitudes and behaviors
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Wang, Jun. - : Sydney, Australia : Macquarie University, 2014
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A Novel DFNA36 Mutation in TMC1 Orthologous to the Beethoven (Bth) Mouse Associated with Autosomal Dominant Hearing Loss in a Chinese Family
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Preliminary Test of a Real-Time, Interactive Silent Speech Interface Based on Electromagnetic Articulograph
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In: CSE Conference and Workshop Papers (2014)
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Is the Communicative Language Teaching Approach More Effective Than the Grammar Translation Method at Teaching the Ba-Construction in Mandarin Chinese to American Undergraduate Students?
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Individual articulator's contribution to phoneme production
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In: CSE Conference and Workshop Papers (2013)
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Word Recognition from Continuous Articulatory Movement Time-Series Data using Symbolic Representations
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In: CSE Conference and Workshop Papers (2013)
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Articulatory Distinctiveness of Vowels and Consonants: A Data-Driven Approach
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In: CSE Journal Articles (2013)
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