Quality evaluation of 32 kbit/s coded speech by means of degradation category ratings

Combescure, P.; Guyader, Alain Le; Gilloire, André

doi:10.1109/icassp.1982.1171569

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…To create these auditory scenes, four speech signals (two male voices and two female voices) and three masking signals were selected to represent the service sector environment (speech noise and office noises) and three other masking signals (noisy machines) to represent the industrial environment. The Combescure sentences[ 24 ] in French spoken by a man and a woman were used as vocal material as were two literary interviews broadcast by a French public radio station and downloaded from its website. The noise signals were built with the Audacity software using sample taken from an online sound library (https://lasonotheque.org/).…”

Section: Haracterization S Tagementioning

confidence: 99%

Characterization and Prediction of Speech Intelligibility at the Output of Hearing Aids in a Noisy Working Environment

Malrin,

Ducourneau,

Chevret

2023

Noise Health

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Objective: Hearing aids are more and more technically advanced, but do not necessarily guarantee the reproduction of useful signals in all working environments. This is particularly the case for speech intelligibility. This study focuses on the prediction of hearing aid performance in the case of a moderate deafness setting, in service and industrial work environments. To improve intelligibility, hearing aids propose signal processing options such as noise reduction and compression. These processes can transform hearing aids into nonlinear systems. The aim of this study is to develop a nonlinear method for the characterization of hearing aids. Materials and Methods: The method is based on the synchronized swept sine ( SSS ) signal method.[ 16 ] The SSS method is applied for determining hearing aid frequency responses fitted according to the present methodology and several processing options. The characterization of hearing aid’s program containing the noise reduction function is specifically analyzed. Indeed, to be fully active and efficient, the hearing aid, with the noise reduction feature activated, needs to be immersed in a noisy environment which does not allow nonlinear characterization. A linear approach is taken to study this feature. Three hearing aids commonly sold by hearing care professionals are studied here; all of them have three different programs. The characterization for each program is discussed. Results: The statistical study showed that the intelligibility, assessed using the speech transmission index in these sound environments, is well estimated for every program, although certain differences are observed when the compression effect is too high in the service work sector. Conclusion: The characterizations of hearing aids using the programs studied did not highlight the presence of frequency nonlinearities. The characterization method could not take into account amplitude nonlinearities when there is too much gain compression in the hearing process. Globally, all the hearing aid programs provided a very significant improvement in intelligibility in service and industrial work contexts.

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Section: Haracterization S Tagementioning

confidence: 99%

Characterization and Prediction of Speech Intelligibility at the Output of Hearing Aids in a Noisy Working Environment

Malrin,

Ducourneau,

Chevret

2023

Noise Health

View full text Add to dashboard Cite

show abstract

“…Some of the first methods utilizing this approach used the autocorrelation function Rabiner (1977) and the average magnitude difference function Ross et al (1974) as similarity measures. More recent variants of methods using the delay approach can be found in Combescure et al (1982); Medan et al (1991); Tolonen et al (2000). Another subclass of nonparametric fundamental frequency estimators is based on peak detection.…”

Section: Introductionmentioning

confidence: 99%

An adaptive “quasi” repetitive controller for the fundamental frequency estimation of periodic signals

Fedele

Ferrise

Muraca

2014

IFAC Proceedings Volumes

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Comparison of basic and simplified sequential algorithms for the computation of lattice filter predictor coefficients in ADPCM coding of speech

Guyader¹,

Gilloire²

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing

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Quality evaluation of 32 kbit/s coded speech by means of degradation category ratings

Cited by 4 publications

References 3 publications

Characterization and Prediction of Speech Intelligibility at the Output of Hearing Aids in a Noisy Working Environment

Characterization and Prediction of Speech Intelligibility at the Output of Hearing Aids in a Noisy Working Environment

An adaptive “quasi” repetitive controller for the fundamental frequency estimation of periodic signals

Comparison of basic and simplified sequential algorithms for the computation of lattice filter predictor coefficients in ADPCM coding of speech

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