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Optimal Outcome Reporting 5 and 8 Years Following Cleft Palate Repair. [PDF]
Rodriguez GC, Gosain AK.
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Child Consonant Harmony Revisited: The Role of Lexical Memory Constraints and Segment Repetition. [PDF]
Ota M.
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Speech impairment detection in children using time frequency features of speech and deep learning techniques. [PDF]
Manoswini M +6 more
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The Silent Interval of Stop Consonants [PDF]
An experiment was conducted to measure the silent interval (SI) preceding the burst of all the stop consonants in English. A list of words was constructed for each pair of stop cognates. More commonly used words with stop cognates in similar environments were chosen for the experiment.
C Y, Suen, M P, Beddoes
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Models for the production and acoustics of stop consonants
Speech Communication, 1993Abstract Stop consonants are produced by forming a closure in the vocal tract, building up pressure in the mouth behind this closure, and releasing the closure. Models of the mechanical, aerodynamic, and acoustic events in the vicinity of the stop consonant are described, and examples of calculations of the airflow and of various components of the ...
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(Perception of Stop Consonants in Synthetic CV Syllables [PDF]
A method of synthesizing stop consonants in CV syllables has been investigated. The data from a perception experiment have been analysed in such a way that the importance of various acoustic features for the perception of stops in front of each of twelve English vowels has been estimated.
W.A. Ainsworth
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Voice onset times for Turkish stop consonants [PDF]
In this study, we aimed to determine the average VOT (voice onset time) values of the Turkish stop consonants by using 30 volunteers (15 female and 15 male). For this aim, we measured the VOT values of the six Turkish stops (i.e., /p/, /b/, /t/, /d/, /k/
Mehmet Akif Kilic, Erkan Zeki Engin
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2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
To extract speech from acoustic interference is a challenging problem. Previous systems based on auditory scene analysis principles deal with voiced speech, but cannot separate unvoiced speech. We propose a novel method to separate stop consonants, which contain significant unvoiced signals, based on their acoustic properties.
Guoning Hu, DeLiang Wang
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To extract speech from acoustic interference is a challenging problem. Previous systems based on auditory scene analysis principles deal with voiced speech, but cannot separate unvoiced speech. We propose a novel method to separate stop consonants, which contain significant unvoiced signals, based on their acoustic properties.
Guoning Hu, DeLiang Wang
openaire +1 more source

