Multi-band frequency compression for sensorineural hearing impairment

Kulkarni, Pandurangarao N.; Pandey, Prem C.; Jangamashetti, Dakshayani S.

doi:10.1109/icdsp.2009.5201179

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…The benefi t was more consistent for the hearing-impaired listeners, indicating a reduction in the effects of intraspeech masking. Spectral contrast enhancement (Baer et al, 1993;Cohen, 2006) and multi-band frequency compression (Arai et al, 2004;Kulkarni et al, 2009) have been investigated for reducing the effects of increased spectral masking. These techniques generally result in some degradation in speech quality and are diffi cult to implement using low-power signal processors in hearing aids.…”

mentioning

confidence: 98%

Binaural dichotic presentation to reduce the effects of spectral masking in moderate bilateral sensorineural hearing loss

Kulkarni

Pandey

Jangamashetti³

2011

International Journal of Audiology

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confidence: 98%

Binaural dichotic presentation to reduce the effects of spectral masking in moderate bilateral sensorineural hearing loss

Kulkarni

Pandey

Jangamashetti³

2011

International Journal of Audiology

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“…This technique divides the speech spectrum into 18 bands and spectral samples in these analysis bands are compressed by a constant compression factor towards the band centre. The investigation of the effectiveness of the scheme for different compression factors, in improving the speech perception is discussed [33]. Implementation of the algorithm with different types of frequency mappings, bandwidths, and segmentation for processing is presented [34,35].…”

Section: Related Workmentioning

confidence: 99%

Wiener Filter Based Noise Reduction Algorithm with Perceptual Post Filtering for Hearing Aids

Pujar¹

2019

IJIGSP

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This paper presents a filter bank summation method to perform spectral splitting of input signal for binaural dichotic presentation along with dynamic range compression coupled with noise reduction algorithm based on wiener filter. This helps to compensate the effect of spectral masking, reduced dynamic range, and improves speech perception for moderate sensorineural hearing loss in the adverse listening conditions. We have considered cascaded structure of noise reduction technique; Filter Bank Summation (FBS) based amplitude compression and spectral splitting. Wiener filter produces the enhanced signal by removing unwanted noise. The signal is split into eighteen frequency bands, ranging from 0-5KHz, based on auditory critical bandwidths. To reduce the dynamic range, amplitude compression is carried out using constant compression factor in each of the bands. Subjective and objective assessment based on Mean Opinion Score (MOS) and Perceptual Evaluation of Speech Quality (PESQ) scores, respectively, are used to test the Perceived quality of speech for different Signalto-Noise Ratio (SNR) conditions. Vowel Consonant Vowel (VCV) syllable /aba/ and sentences were used as the test material. The results of the listening tests showed MOS scores for processed speech sentence "sky that morning was clear and bright blue"

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“…Figure 2 The schematic diagram of the spectrum change Proposed Scheme P.N.Kulkarni [8] proposed multi-band frequency shifting compression. Also Xulai Cao [9] provided multi-band loudness compensation based on high frequency compression and shift.…”

Section: Applied Mechanics and Materials Vols 719-720mentioning

confidence: 99%

An Improved Frequency-Shift Compression Method Based on Auto Energy Gain Compensation for Digital Hearing Aids

Zhao

Guo

Luo

et al. 2015

AMM

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Sensorineural hearing impaired individuals have narrow hearing range, especially in high frequency. Due to acoustic diffusion masking, just amplifying speech can’t meet patients’ demands. Traditional methods restore the signal of high frequency in low frequency, which has two weaknesses. On the one hand high frequency covers low frequency, on the other hand the methods change the energy of speech. These two aspects severely decrease speech loudness, perception and recognition. To solve the above problems, we have proposed an improved frequency shifting compression method based on Auto Energy Gain Compensation (AEGC) which is used for hearing aids. Fully investigating the relationship of speech frequency with energy and recognition, the scheme selectively keeps the information of vital frequency band. Meanwhile, it compensates the speech loudness with AEGC module. With the proposed scheme, it has obviously improved the speech perception and recognition. Both the theoretical simulation result and subjective test in APP on android platform show the energy is compensated and the speech recognition ratios are enhanced 20%-30% in different environments, especially efficient in quiet, noisy and normal environment.

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Multi-band frequency compression for sensorineural hearing impairment

Cited by 8 publications

References 19 publications

Binaural dichotic presentation to reduce the effects of spectral masking in moderate bilateral sensorineural hearing loss

Binaural dichotic presentation to reduce the effects of spectral masking in moderate bilateral sensorineural hearing loss

Wiener Filter Based Noise Reduction Algorithm with Perceptual Post Filtering for Hearing Aids

An Improved Frequency-Shift Compression Method Based on Auto Energy Gain Compensation for Digital Hearing Aids

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