Wavelet analysis in recruitment of loudness compensation
نویسندگان
چکیده
Wavelet-based multiband dynamic range compression is developed to compensate for a common hearing impairment known as recruitment of loudness. The algorithm combines standard compression with intensity-level dependent gain calculation. Complexity and performance are similar to traditional techniques. Further, the methods established here can be applied to the more adaptive wavelet packets and local cosine bases which model the speech signal more closely.
منابع مشابه
Simulation of the effect of recruitment on loudness relationships in speech.
Persons suffering from perceptive deafness commonly find it difficult to understand amplified speech, and their understanding of speech is easily destroyed by competing speech or noise. One source of perceptive distortion is recruitment, which exaggerates loudness differences among the acoustical elements of speech. A transposition of these distorted loudness relationships from the deaf-subject...
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متن کاملRecruitment Compensation as a Hearing Aid Signal Processing Strategy
Although Fowler is commonly given credit for discovering recruitment [14], Steinberg and Gardner at Bell Labs [25] were the first to understand its true significance. Today recruitment is poorly understood, and is generally misdejned as the abnormally rapid growth of loudness. It is not well known that loudness in sones does not grow more rapidly in the recruiting ear; rather it is the intensit...
متن کاملAn architecture for wavelet-packet based speech enhancement for hearing aids
Wavelet packets have been applied in order to compensate the speech signal to improve the intelligibil-ity for a common hearing impairment known as recruitment of loudness, a sensorineural hearing loss of cochlear origin. We present an architecture that allows selection of the best decomposition tree for each patient , in order to apply this wavelet-packet based para-metric compression algorithm.
متن کاملWavelet-Based Speech Enhancement for Hearing Aids
Several wavelet-based methods have been applied to compensate the speech signal to improve the intelligibility for a common hearing impairment known as recruitment of loudness, a sensorineural hearing loss of cochlear origin. The more complete method performs both denoising and amplitude compression using the same wavelet coefficients for both stages.
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ورودعنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 41 شماره
صفحات -
تاریخ انتشار 1993