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- W2065179278 abstract "A vibrotactile aid capable of real-time speech processing has been developed. Three microprocessors are used for, respectively, speech sampling and data reduction, pattern matching, and generation of vibrator drive signals. Data reduction is performed by generating data records at each zero crossing of the speech signal. Records consist of the interval since the last zero crossing (ZCI) and average amplitude during that interval. A pitch detector has been implemented on the aid. The algorithm is based on the observation that consecutive pitch periods have similar ZCI and amplitude structures. Pattern matching is performed by comparing adjacent strings of ZCI and amplitude values. Sum-of-difference correlation values are low when the strings correspond to actual adjacent pitch periods. The pitch search window is adaptively narrowed after voicing has been detected. The detector shows no tendency to lock onto other harmonics or formants. Results of comparisons with other pitch detectors in several white and babble noise conditions will be presented. [Work supported by NIH, NSF, NIHR.]" @default.
- W2065179278 created "2016-06-24" @default.
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- W2065179278 date "1985-11-01" @default.
- W2065179278 modified "2023-10-17" @default.
- W2065179278 title "Pitch detection on a programmable vibrotactile aid for the deaf" @default.
- W2065179278 doi "https://doi.org/10.1121/1.2022670" @default.
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