Extension and evaluation of a near-end listening enhancement algorithm for listeners with normal and impaired hearing

Autor: Henning Schepker, David Hülsmeier, Simon Doclo, Jan Rennies, Jakob H. Drefs
Přispěvatelé: Publica
Rok vydání: 2017
Předmět:
Adult
Male
Noise power
Speech perception
Acoustics and Ultrasonics
Computer science
02 engineering and technology
Intelligibility (communication)
Speech Reception Threshold Test
Young Adult
030507 speech-language pathology & audiology
03 medical and health sciences
Hearing
Arts and Humanities (miscellaneous)
0202 electrical engineering
electronic engineering
information engineering

Humans
Public address system
Active listening
Environmental noise
Aged
Speech Intelligibility
Auditory Threshold
Signal Processing
Computer-Assisted

020206 networking & telecommunications
Acoustics
Middle Aged
Presbycusis
Persons With Hearing Impairments
Acoustic Stimulation
Sound reinforcement system
Case-Control Studies
Speech Perception
Audiometry
Pure-Tone

Female
Dynamic range compression
Noise
0305 other medical science
Perceptual Masking
Algorithm
Algorithms
Zdroj: The Journal of the Acoustical Society of America. 141:2526-2537
ISSN: 0001-4966
DOI: 10.1121/1.4979591
Popis: In many applications in which speech is played back via a sound reinforcement system such as public address systems and mobile phones, speech intelligibility is degraded by additive environmental noise. A possible solution to maintain high intelligibility in noise is to pre-process the speech signal based on the estimated noise power at the position of the listener. The previously proposed AdaptDRC algorithm [Schepker, Rennies, and Doclo (2015). J. Acoust. Soc. Am. 138, 2692-2706] applies both frequency shaping and dynamic range compression under an equal-power constraint, where the processing is adaptively controlled by short-term estimates of the speech intelligibility index. Previous evaluations of the algorithm have focused on normal-hearing listeners. In this study, the algorithm was extended with an adaptive gain stage under an equal-peak-power constraint, and evaluated with eleven normal-hearing and ten mildly to moderately hearing-impaired listeners. For normal-hearing listeners, average improvements in speech reception thresholds of about 4 and 8 dB compared to the unprocessed reference condition were measured for the original algorithm and its extension, respectively. For hearing-impaired listeners, the average improvements were about 2 and 6 dB, indicating that the relative improvement due to the proposed adaptive gain stage was larger for these listeners than the benefit of the original processing stages.
Databáze: OpenAIRE