Automated cleft speech evaluation using speech recognition

2017 ◽  
Vol 45 (8) ◽  
pp. 1268-1271 ◽  
Author(s):  
Megan Vucovich ◽  
Rami R. Hallac ◽  
Alex A. Kane ◽  
Julie Cook ◽  
Cortney Van'T Slot ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Speech Evaluation

Self-Speech Evaluation with Speech Recognition and Gesture Analysis

2018 ◽  
Author(s):  
S. Shangavi ◽  
S. Jeyamaalmarukan ◽  
A. Jathevan ◽  
M. Umatharsini ◽  
Pradeepa Samarasinghe
Keyword(s):  
Speech Recognition ◽  
Speech Evaluation ◽  
Gesture Analysis

Final Consonant Deletion in African American Children Speaking Black English

1993 ◽  
Vol 24 (3) ◽  
pp. 161-166 ◽  
Author(s):  
Michael J. Moran
Keyword(s):  
African American ◽  
Black English ◽  
African American Children ◽  
Vowel Length ◽  
Minimal Pairs ◽  
Speech Evaluation ◽  
American Children

The purpose of this study was to determine whether African American children who delete final consonants mark the presence of those consonants in a manner that might be overlooked in a typical speech evaluation. Using elicited sentences from 10 African American children from 4 to 9 years of age, two studies were conducted. First, vowel length was determined for minimal pairs in which final consonants were deleted. Second, listeners who identified final consonant deletions in the speech of the children were provided training in narrow transcription and reviewed the elicited sentences a second time. Results indicated that the children produced longer vowels preceding "deleted" voiced final consonants, and listeners perceived fewer deletions following training in narrow transcription. The results suggest that these children had knowledge of the final consonants perceived to be deleted. Implications for assessment and intervention are discussed.

Selecting the Optimal FM System for Children With Cochlear Implants

2008 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Erin C. Schafer
Keyword(s):  
Speech Recognition ◽  
Cochlear Implants ◽  
Empirical Research ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Evidence Based ◽  
Signal To Noise ◽  
Speech Processor ◽  
System Input ◽  
Optimal Type

Children who use cochlear implants experience significant difficulty hearing speech in the presence of background noise, such as in the classroom. To address these difficulties, audiologists often recommend frequency-modulated (FM) systems for children with cochlear implants. The purpose of this article is to examine current empirical research in the area of FM systems and cochlear implants. Discussion topics will include selecting the optimal type of FM receiver, benefits of binaural FM-system input, importance of DAI receiver-gain settings, and effects of speech-processor programming on speech recognition. FM systems significantly improve the signal-to-noise ratio at the child's ear through the use of three types of FM receivers: mounted speakers, desktop speakers, or direct-audio input (DAI). This discussion will aid audiologists in making evidence-based recommendations for children using cochlear implants and FM systems.

Knowledge and Skills for Evaluation of Velopharyngeal Physiology for Speech

2014 ◽  
Vol 24 (2) ◽  
pp. 67-76 ◽  
Author(s):  
Thomas Watterson ◽  
Lynn Marty Grames
Keyword(s):  
Visual Evaluation ◽  
Swallowing Function ◽  
Knowledge And Skills ◽  
Speech Language Pathologist ◽  
Speech Evaluation ◽  
The Relationship

The American Speech-Language-Hearing Association (ASHA) has developed Knowledge and Skills (KAS) recommendations for evaluation of the larynx and swallowing function but the evaluation of velopharyngeal (VP) function has never been addressed. This article will review previous documents that have addressed general endoscopic knowledge and skills and develop a case for a new KAS that specifically addresses visualization and evaluation of the VP mechanism. The new KAS document will delineate and explain the relationship between speech evaluation and visual evaluation of VP physiology. The unique skills required of the speech-language pathologist for this kind of evaluation will be discussed.

Using an Avatar, RFID & speech recognition for hands-free data collection

2008 ◽  
Author(s):  
Kristie Nemeth ◽  
Nicole Arbuckle ◽  
Andrea Snead ◽  
Drew Bowers ◽  
Christopher Burneka ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Data Collection ◽  
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