Multi-band frequency compression for reducing the effects of spectral masking

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

doi:10.1007/s10772-009-9030-z

Cited by 10 publications

(5 citation statements)

References 23 publications

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“…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]. Even though the technique was found to increase speech perception for subjects with sensorineural hearing loss in quiet, its effectiveness is to be quantified under adverse listening conditions.…”

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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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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“…A compression method was proposed by Kulkarni and Pandey [7], in which the input audio signal is divided into several sub-bands and then compressed to the center frequency within each band. Using this method, the frequency difference between the signal components is widened, and the aforementioned frequency confusion is alleviated.…”

Section: Introductionmentioning

confidence: 99%

Piecewise-Linear Frequency Shifting Algorithm for Frequency Resolution Enhancement in Digital Hearing Aids

et al. 2017

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Abstract:In human hearing, frequency resolution is a term used to determine how well the ear can separate and distinguish two sounds that are close in frequency. This capability of breaking speech sounds into various frequency components plays a key role in processing and understanding speech information. In this paper, a piecewise-linear frequency shifting algorithm for digital hearing aids is proposed. The algorithm specifically aims at improving the frequency resolution capability. In the first step, frequency discrimination thresholds are processed by a computer testing software. Then, the input signal is parsed through the proposed piecewise-linear frequency shifting algorithm, which comprises of linearly stretching and compressing the frequency content at different frequency ranges. Experimental results showed that by using the proposed frequency shifting algorithm, the separation of formant tracks was increased in the stretching region and slightly squeezed in the adjacent compression region. Subjective assessment on six hearing-impaired persons with V-shaped audiograms demonstrated that nearly a 10% improvement of speech discrimination score was achieved for monosyllabic word lists tested in a quiet acoustic setting. In addition, the speech reception threshold was also improved by 2~8 dB when disyllabic word listswere tested in a noisy acoustic scenario.

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“…formants that are likely to mask each other are presented to left and right ears. Another technique to reduce effects of spectral masking is to employ multiband frequency compression (Kulkarni et al, 2007). In this technique, the speech spectrum is divided into a number of analysis bands and spectral samples in each of these bands are compressed towards the band center by a constant compression factor.…”

Section: Introductionmentioning

confidence: 99%

Sharp Transition Multiband Filter in Speech Processing Scheme for Hearing Impaired

Shamala¹

2012

American Journal of Engineering and Applied Sciences

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Problem statement:A simple analytical approach to the synthesis of a sharp transition, linear phase, multiband FIR filter is presented. The filter magnitude response is modeled using trigonometric functions of frequency. Approach: Employing variable density of ripple cycles in passband and stopband regions with large density of ripples cycles at the sharp transition edges, reduces the abrupt discontinuities at these edges. Results: As a result, Gibb's phenomenon is reduced in the filter implementation thus giving a flat passband and good stopband attenuation. A closed form expression for impulse response coefficients is obtained. The filter design is easily tunable and allows for variation in transition bandwidth of each band. A speech processing scheme is implemented using a pair of the proposed sharp transition multiband FIR filters to split the speech spectrum into complementary short time spectral bands. Conclusion: The adjacent speech formants are fed dichotically to the two ears to reduce the effect of spectral masking and hence improve speech perception in sensorineural hearing impaired.

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Multi-band frequency compression for reducing the effects of spectral masking

Cited by 10 publications

References 23 publications

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

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

Piecewise-Linear Frequency Shifting Algorithm for Frequency Resolution Enhancement in Digital Hearing Aids

Sharp Transition Multiband Filter in Speech Processing Scheme for Hearing Impaired

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