| Document Date: 2013-01-26 21:26:42
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City Concord / / Company Ian Agranat Wildlife Acoustics Inc. / Artificial Neural Networks / Wildlife Acoustics Inc. / / Continent North America / / Country United States / / Facility Macaulay Library / / IndustryTerm energy passing / telephone receiver / energy level / automatic remote monitoring systems / automatic processing / application software / local maximum energy level / signal detection algorithm / energy level rises / classification algorithms / real-time field identification / maximum energy values / speech recognition applications / energy level falls / real-time classification / classical speech recognition algorithms / human speech recognition algorithms / / NaturalFeature Allegheny National Forest / / OperatingSystem Syllable / / Organization Cornell Lab of Ornithology / / Person Carolina Wren / Song Sparrow / Mel Frequency Cepstral Coefficients / Max Syllable / Song Scope / Max Song / / Position speaker / / Product Song Meter / Normalization / / ProvinceOrState Massachusetts / / Region New England / North Eastern United States / / SportsEvent Formula 1 / / Technology speech recognition / broadband / NOISE REDUCTION The Song Scope algorithms / classical speech recognition algorithms / 2.1 BACKGROUND The Song Scope classification algorithms / Viterbi algorithm / 2 ALGORITHM / human speech recognition algorithms / DSP / signal detection algorithm / computer algorithms / Song Scope algorithms / /
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