Simulation of hearing loss using compressive gammachirp auditory filters

Hu, Hongmei; Sang, Jinqiu; Lutman, Mark E.; Bleeck, Stefan

doi:10.1109/icassp.2011.5947586

Cited by 9 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…HI subjects were tested at individually different levels that allowed comfortable listening. BKB sentences with 21 lists in total were presented, which was often used to test intelligibility [27]. One list was used for practice.…”

Section: B Subjective Evaluationmentioning

confidence: 99%

Supervised sparse coding strategy in hearing aids

Sang

et al. 2011

2011 IEEE 13th International Conference on Communication Technology

Self Cite

View full text Add to dashboard Cite

Hearing impaired people are struggling more understanding speech that is corrupted with noise than normal hearing listeners. In this paper we develop a supervised single channel sparse coding (SC) strategy for hearing aid (HA) users in noise environment. In this algorithm, the sparse coding and shrinkage principles are applied to noisy speech. The algorithm is implemented in the temporal domain by arranging onedimensional speech into a data matrix. The strategy not only reduces background noise but also extracts key information from speech. The performance of the supervised sparse coding strategy is compared with other state-of-art noise reduction strategies (Wiener filtering and spectral subtraction) in both objective and subjective experiments. Results show that sparse coding leads to better sound quality (objective measures) and preserves the level of intelligibility (subjective measures).___________________________________ 978-1-61284-307-0/11/$26.00 ©2011 IEEE

show abstract

Section: B Subjective Evaluationmentioning

confidence: 99%

Supervised sparse coding strategy in hearing aids

Sang

et al. 2011

2011 IEEE 13th International Conference on Communication Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The gammachirp requires fewer coefficients than the roex filter [19]. GCFB was also used in an HL simulator functionally similar to CamHLS [20] and a real-time HL simulator [21].…”

Section: Introductionmentioning

confidence: 99%

Hearing impairment simulator based on auditory excitation pattern playback: WHIS

Irino

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Additionally, the gammachirp filter requires fewer coefficients compared to the roex filter [19]. GCFB has also been utilized in an HL simulator functionally similar to CamHLS [20] and a real-time HL simulator [21].…”

Section: Introductionmentioning

confidence: 99%

Hearing Impairment Simulator Based on Auditory Excitation Pattern Playback: WHIS

Irino

2023

IEEE Access

View full text Add to dashboard Cite

A new version of the Wakayama-University Hearing Impairment Simulator (WHIS) was developed based on the idea of auditory excitation pattern (EP) playback instead of direct simulation of loudness recruitment in conventional methods. The EPs of normal hearing (NH) and hearing impaired (HI) listeners were computed using a frame-based version of the gammachirp filterbank (GCFB), in which the cochlear input-output (IO) function was controlled by a parameter called the compression health α. WHIS synthesizes simulated hearing loss (HL) sounds to make the EPs of an NH listener sufficiently close to the EPs of a target HI listener by applying active and passive level reduction to the input signals. Active reduction can be simply formulated as the composite function of the IO function of HI and the inverse NH IO function of NH. Passive reduction was determined to maintain the hearing level shown in the audiogram of the HI listener. Two methods were proposed for sound synthesis: a direct time-varying filter method and a filterbank analysis-synthesis method. WHIS was compared with a Cambridge version of the HL simulator (CamHLS) in terms of differences in the IO functions and spectral distances in the EP spectrograms. WHIS yielded smaller distances than CamHLS, suggesting that EP playback is an effective method for HL simulations.

show abstract

Simulation of hearing loss using compressive gammachirp auditory filters

Cited by 9 publications

References 15 publications

Supervised sparse coding strategy in hearing aids

Supervised sparse coding strategy in hearing aids

Hearing impairment simulator based on auditory excitation pattern playback: WHIS

Hearing Impairment Simulator Based on Auditory Excitation Pattern Playback: WHIS

Contact Info

Product

Resources

About