Multichannel adaptive noise reduction in digital hearing aids

Magotra, N.; Kasthuri, Praveen; Yang, Yamei; Whitman, Robert; Livingston, Frank E.

doi:10.1109/iscas.1998.705342

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The sensorineural hearing impairment is characterized by high frequency hearing loss, increase in the threshold of hearing, compression in the dynamic range, severity of temporal masking and the loss of spectral resolution due to spread of masking. But most often individual with sensorineural hearing loss face greater deficits as result of combination of the above mentioned aspects [1] and if hearing loss is left untreated it often results in a general decrease in physical and psychological well being [18]. To help such individuals to cope up with their disability hearing aids are usually prescribed.…”

Section: Introductionmentioning

confidence: 99%

Critical-band based compression — an insight into the future of digital hearing aids

Vikrant

Krishna

Rajashekhar

et al. 2008

2008 International Conference on Audio, Language and Image Processing

View full text Add to dashboard Cite

Patients with sensorineural hearing impairment often experience difficulty in understanding speech. This can be attributed to the widened auditory filters, which results in greater spectral spread across the critical bands and thus causing increased spectral masking. Off late various methods have been used to compress the signal towards the center of the critical band. In our study we have used gammatone filters to split the speech signal into various bands and each critical band was compressed along the frequency axis. 30 hearing impaired subjects participated in a perceptual judgment and speech identification task. From the results of both the tasks we confirmed that processed speech became more intelligible, thus highlighting the need for devising a processing algorithm which can achieve the compression of signal along the frequency axis in real-time to help patients with sensorineural hearing loss to improve the perceived speech intelligibility.

show abstract

Section: Introductionmentioning

confidence: 99%

Critical-band based compression — an insight into the future of digital hearing aids

Vikrant

Krishna

Rajashekhar

et al. 2008

2008 International Conference on Audio, Language and Image Processing

View full text Add to dashboard Cite

show abstract

“…In order to be able to adequately represent the very low level signals, that are subject to the maximum amplification in the processor, very large word-lengths are required, and floating point representation is quite usual in this regard. 1 For an auditory canal digital processor, the power consumption is a major component of the cost function, and so we search for any techniques that can be used to reduce the power dissipation. In this paper we propose to use a recently introduced non-linear number representation in order to both reduce the size of the number representation and to allow a relatively low cost implementation of the operations of multiplication, division, and exponentiation.…”

Section: Introductionmentioning

confidence: 99%

<title>Nonlinear signal processing using index calculus DBNS arithmetic</title>

et al. 2000

View full text Add to dashboard Cite

This paper discusses the use of a recently introduced index calculus Double-Base Number System (IDBNS) for representing and processing numbers for non-linear digital signal processing; the target application is a digital hearing aid processor. The IDBNS representation uses 2 orthogonal bases (2 and 3) to represent real numbers with arbitrary precision. By restricting the number of digits to one or two, it is possible to efficiently represent the real number using the indices of the bases rather t han the distribution of the digits. In this paper we discuss the use of the two-digit form of this representation (2-IDBNS) to efficiently perform arithmetic associated with the non-linear processing required to correct the usual forms of hearing loss in a digital hearing aid. The non-linear processing takes the form of dynamic range compression as a function of frequency band. Currently developed digital hearing instrument processors require large dynamic range representations (20-24 bits) in order to accurately generate the dynamic range compression associated with typical hearing loss. We show that the natural non-linear representation afforded by the IDBNS provides both a more efficient signal representation and a more efficient technique for processing the dynamic range compression. We pay particular attention to a novel technique of converting from a linear binary input directly to the 2-IDBNS representation using an observation of partial cyclic repetition in the indices along with near unity approximants.

show abstract