HiResolutionTM and Conventional Sound Processing in the HiResolutionTM Bionic Ear: Using Appropriate Outcome Measures to Assess Speech Recognition Ability

2004 ◽  
Vol 9 (4) ◽  
pp. 214-223 ◽  
Author(s):  
Dawn Burton Koch ◽  
Mary Joe Osberger ◽  
Phil Segel ◽  
Dorcas Kessler
Keyword(s):  
Speech Recognition ◽  
Outcome Measures ◽  
Sound Processing ◽  
Recognition Ability

Temporal Resolution and Speech Recognition Ability of Patients with Retrocochlear Auditory Dysfunction

2004 ◽  
Vol 124 (sup554) ◽  
pp. 30-34 ◽  
Author(s):  
Toshiyuki Shibata ◽  
Tetsushi Sakashita ◽  
Hideo Yamane ◽  
Chitoe Hashimoto
Keyword(s):  
Speech Recognition ◽  
Temporal Resolution ◽  
Auditory Dysfunction ◽  
Recognition Ability

Simulated Conductive Hearing Loss in Children

2004 ◽  
Vol 15 (04) ◽  
pp. 300-310 ◽  
Author(s):  
Terrey Oliver Penn ◽  
D. Wesley Grantham ◽  
Judith S. Gravel
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Conductive Hearing Loss ◽  
Otitis Media With Effusion ◽  
Age Groups ◽  
Recognition Ability ◽  
Monosyllabic Words ◽  
The Impact ◽  
Conductive Hearing ◽  
Nonsense Syllables

Otitis media with effusion (OME) often results in hearing loss for children with the condition. In order to provide appropriate and effective audiologic management, it is important to understand the impact of OME on speech recognition ability when hearing loss is present. This study examined the speech recognition abilities of normal-hearing six- and seven-year-old children (n = 12) and adults (n = 12) using monosyllabic words and nonsense syllables presented at two levels of simulated conductive hearing loss characteristic of OME. Average speech recognition scores decreased as the degree of simulated conductive hearing loss increased. Both age groups scored significantly poorer for nonsense syllables than for monosyllabic words. In general, the children performed more poorly than the adults with the exception of the easiest listening condition for word stimuli. Furthermore, children appeared less able than adults to use their knowledge of familiar words to improve performance. These findings suggest that rehabilitative strategies may best be focused on combining familiarization techniques and amplification options.

Speech Recognition Technology Applications in Communication Disorders

2002 ◽  
Vol 11 (4) ◽  
pp. 323-332 ◽  
Author(s):  
H. S. Venkatagiri
Keyword(s):  
Speech Recognition ◽  
Literacy Development ◽  
Environmental Control ◽  
Communication Disorders ◽  
Language And Literacy ◽  
Sound Processing ◽  
Speech Recognition Software ◽  
Speech Recognition Technology ◽  
Technology Applications ◽  
Recognition Software

Speech recognition (SR) is the process whereby a microprocessor-based system, typically a computer with sound processing hardware and speech recognition software, responds in predictable ways to spoken commands and/or converts speech into text. This tutorial describes the types and the general uses of SR and provides an explanation of the technology behind it. The emerging applications of SR technology for dictation, articulation training, language and literacy development, environmental control, and communication augmentation are discussed.

Reverberation, Masking, Filtering, and Level Effects on Speech Recognition Performance

1988 ◽  
Vol 31 (4) ◽  
pp. 681-695 ◽  
Author(s):  
Faith C. Loven ◽  
M. Jane Collins
Keyword(s):  
Speech Recognition ◽  
Speech Signal ◽  
Nonsense Syllable ◽  
Recognition Performance ◽  
Interactive Effects ◽  
Spectral Changes ◽  
Signal Parameters ◽  
Recognition Ability ◽  
The Relationship ◽  
Everyday Communication

The purpose of this investigation was to describe the interactive effects of four signal modifications typically encountered in everyday communication settings. These modifications included reverberation, masking, filtering, and fluctuation in speech intensity. The relationship between recognition performance and spectral changes to the speech signal due to the presence of these signal alterations was also studied. The interactive effects of these modifications were evaluated by obtaining indices of nonsense syllable recognition ability from normally hearing listeners for systematically varied combinations of the four signal parameters. The results of this study were in agreement with previous studies concerned with the effect of these variables in isolation on speech recognition ability. When present in combination, the direction of each variable's effect on recognition performance is maintained; however, the magnitude of the effect increases. The results of this investigation are reasonably accounted for by a spectral theory of speech recognition.

scholarly journals Effects of Wireless Remote Microphone on Speech Recognition in Noise for Hearing Aid Users in China

2021 ◽  
Vol 15 ◽  
Author(s):  
Jing Chen ◽  
Zhe Wang ◽  
Ruijuan Dong ◽  
Xinxing Fu ◽  
Yuan Wang ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Hearing Aids ◽  
Signal To Noise Ratio ◽  
Hearing Aid ◽  
Recognition Performance ◽  
Speech In Noise ◽  
Hearing In Noise ◽  
Recognition Ability ◽  
Noise Test ◽  
Test Distance

Objective: This study was aimed at evaluating improvements in speech-in-noise recognition ability as measured by signal-to-noise ratio (SNR) with the use of wireless remote microphone technology. These microphones transmit digital signals via radio frequency directly to hearing aids and may be a valuable assistive listening device for the hearing-impaired population of Mandarin speakers in China.Methods: Twenty-three adults (aged 19–80 years old) and fourteen children (aged 8–17 years old) with bilateral sensorineural hearing loss were recruited. The Mandarin Hearing in Noise Test was used to test speech recognition ability in adult subjects, and the Mandarin Hearing in Noise Test for Children was used for children. The subjects’ perceived SNR was measured using sentence recognition ability at three different listening distances of 1.5, 3, and 6 m. At each distance, SNR was obtained under three device settings: hearing aid microphone alone, wireless remote microphone alone, and hearing aid microphone and wireless remote microphone simultaneously.Results: At each test distance, for both adult and pediatric groups, speech-in-noise recognition thresholds were significantly lower with the use of the wireless remote microphone in comparison with the hearing aid microphones alone (P < 0.05), indicating better SNR performance with the wireless remote microphone. Moreover, when the wireless remote microphone was used, test distance had no effect on speech-in-noise recognition for either adults or children.Conclusion: Wireless remote microphone technology can significantly improve speech recognition performance in challenging listening environments for Mandarin speaking hearing aid users in China.

Speech Recognition Ability as a Function of Duration of Deafness in Multichannel Cochlear Implant Patients

1990 ◽  
Vol 100 (3) ◽  
pp. 223???226 ◽  
Author(s):  
John J. Shea ◽  
Elizabeth H. Domico ◽  
Daniel J. Orchik
Keyword(s):  
Speech Recognition ◽  
Cochlear Implant ◽  
Recognition Ability

Deterioration of Speech Recognition Ability Over a Period of 5 Years in Adults Ages 18 to 70 Years

2015 ◽  
Vol 36 (3) ◽  
pp. e129-e137 ◽  
Author(s):  
Mariska Stam ◽  
Cas Smits ◽  
Jos W. R. Twisk ◽  
Ulrike Lemke ◽  
Joost M. Festen ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Recognition Ability

Performance of Cochlear Implant Patients as a Function of Time

1990 ◽  
Vol 33 (3) ◽  
pp. 511-519 ◽  
Author(s):  
Lynn G. Spivak ◽  
Susan B. Waltzman
Keyword(s):  
Speech Recognition ◽  
Speech Perception ◽  
Cochlear Implant ◽  
Hearing Aids ◽  
Prognostic Indicator ◽  
Processing Scheme ◽  
Open Set ◽  
Time Period ◽  
Recognition Ability ◽  
Over Time

The speech perception abilities of 15 patients were measured preoperatively using hearing aids and postoperatively using the Nucleus 22-channel cochlear implant over a period of 1, 2, or 3 years. Analysis of mean data revealed that, although the greatest amount of improvement in speech perception scores occurred between the preoperative and 3-month poststimulation evaluation, there was also significant improvement in perception of segmental features and open-set speech recognition over the 3-year time period. When individual patient data were examined, however, it was clear that these improvements were due, in large part, to the performance of a subset of patients who had measurable open-set speech recognition abilities at the time of their 3-month, poststimulation evaluation. Subjects who used the processing scheme that included coding of F1 showed significantly more improvement over time than subjects who used the original FOF2 processing scheme exclusively. It was concluded that open-set speech recognition ability at 3 months is an important prognostic indicator of continued improvement in speech perception abilities over time.

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