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patterson–holdsworth auditory filter bank apple computer technical report no. 35  (apple inc)

 
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    apple inc patterson–holdsworth auditory filter bank apple computer technical report no. 35
    Patterson–Holdsworth Auditory Filter Bank Apple Computer Technical Report No. 35, supplied by apple inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/patterson-holdsworth+auditory+filter+bank/patterson+holdsworth+auditory+filter+bank/pmc08582905-1062-5-9
    Average 90 stars, based on 1 article reviews
    patterson–holdsworth auditory filter bank apple computer technical report no. 35 - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Sensitivity to envelope-based interaural delays at high frequencies: Center frequency affects the envelope rate-limitation
    Article Snippet: “ An efficient implementation of the Patterson-Holdsworth auditory filter bank ,” Apple Computer Technical Report 35.

    Article Title: Process and system for objective audio quality measurement
    Article Snippet: “An efficient implementation of the Patterson-Holdsworth auditory filter bank”, Apple Computer Technical Report #35, Apple Computer Inc., is implemented to process a short segment of the masker.

    Article Title: Speaker normalization using cortical strip maps: a neural model for steady-state vowel categorization.
    Article Snippet: Auditory signals of speech are speaker dependent, but representations of language meaning are speaker independent.. The transformation from speaker-dependent to speaker-independent language representations enables speech to be learned and understood from different speakers.. A neural model is presented that performs speaker normalization to generate a pitch-independent representation of speech sounds, while also preserving information about speaker identity.

    Article Title: Perception-based automatic classification of impulsive-source active sonar echoes.
    Article Snippet: Impulsive-source active sonar systems are often plagued by false alarm echoes resulting from the presence of naturally occurring clutter objects in the environment.. Sonar performance could be improved by a technique for discriminating between echoes from true targets and echoes from clutter.. Motivated by anecdotal evidence that target echoes sound very different than clutter echoes when auditioned by a human operator, this paper describes the implementation of an automatic classifier for impulsive-source active sonar echoes that is based on perceptual signal features that have been previously identified in the musical acoustics literature as underlying timbre.



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