Robust scoring of voice exercises in computer-based speech therapy systems

Author(s):  
Mariana Diogo ◽  
Maxine Eskenazi ◽  
Joao Magalhaes ◽  
Sofia Cavaco
1970 ◽  
Vol 109 (3) ◽  
pp. 101-104 ◽  
Author(s):  
O. A. Schipor ◽  
S. G. Pentiuc ◽  
M. D. Schipor

In this paper we present two appropriate ways for the Computer Based Speech Therapy (CBST) improvement. Real-time quality feedback in free environments and emotion recognition could produce a better similarity between human and artificial speech therapist. Using these extended approaches, a CBST system can become a better speech therapist assistant and that is why we intend to implement these technology improvements on our CBST system - Logomon. Ill. 3, bibl. 15 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.109.3.181


Author(s):  
Oscar Saz ◽  
Eduardo Lleida

This Chapter aims to bring up a discussion on the use of Computer Synthesized Speech (CSS) in the development of Computer-Aided Speech and Language Therapy (CASLT) tools for the improvement of the communication skills in handicapped individuals. CSS is strongly required in these tools for two reasons: Providing alternative communication to users with different impairments and reinforcing the correct pronunciation of words and sentences. Different possibilities have arisen for this goal, including pre-recorded audio, embedded Text-to-Speech (TTS) devices or talking faces. These possibilities are reviewed and the implications of their use with handicapped individuals are commented, showing the experience of the authors in the development of tools for Spanish speech therapy. Finally, a preliminary study in the use of computer-based tools for the teaching of Spanish to young children showed how the synthetic speech feature in the language learning tool was sufficient to maintain the possibilities of the tool as a valuable language teaching element in the absence of other visual elements.


2017 ◽  
Vol 68 ◽  
pp. 50-69 ◽  
Author(s):  
Lisa Furlong ◽  
Shane Erickson ◽  
Meg E. Morris

2011 ◽  
Vol 30 ◽  
pp. 1177-1182 ◽  
Author(s):  
Ovidiu-Andrei Schipor ◽  
Doina-Maria Schipor ◽  
Emilia Crismariu ◽  
Stefan Gheorghe Pentiuc

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Reham Mohamed Elmaghraby ◽  
Engy Samy Elhakeem ◽  
Alaa Mamdouh abdelhamed Radwan ◽  
Rami Nabil Abdelkader Elsalakawy

Abstract Background Velopharyngeal dysfunction causes abnormal speech due to altered nasal resonance during the production of oral speech sounds. The development of computer-based speech therapy has been growing to make use of computer technology in providing an organized effective source for speech therapy and feedback. The development of a remediation software program that is specific for patients with velopharyngeal dysfunction in the Arabic language and testing its efficacy on patients’ speech was the aim of this study. Results The study showed significant improvement in speech parameters after intervention with p value less than 0.05 for nasometer values and parameters of auditory perceptual assessment. The study proved a significant relation between nasometer values and auditory perceptual assessment. Conclusion The designed software program proved to be a good therapeutic tool in improving speech in patients with velopharyngeal dysfunction. The application of the program on a larger number of patients and in comparison with traditional methods of speech therapy and biofeedback is recommended. Trial registration The study was retrospectively registered at www.clinicaltrials.govNCT04392817


1989 ◽  
Vol 32 (2) ◽  
pp. 245-251 ◽  
Author(s):  
Charles S. Watson ◽  
Daniel J. Reed ◽  
Diane Kewley-Port ◽  
Daniel Maki

Experimental comparisons are reported between computer-based and human judgments of speech quality for the same sets of utterances. Speech stimuli were recorded from two normal talkers, who intentionally varied the quality of their speech, and from a hearing-impaired child who was receiving speech therapy on the Indiana Speech Training Aid (ISTRA). The tape recordings were submitted for evaluation to a naive jury, an expert jury, and the ISTRA System, a microcomputer equipped with a speaker-dependent speech recognition board that generated scores representing how well utterance matched a stored template. Correlational analyses of these data indicated that humans were slightly better at judging speech quality than was the computer, but that the computer was much more reliable. These results demonstrate that computer-based speech evaluation may be a reasonable substitute for human judgments for certain types of speech drill.


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