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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Advanced Subspace Techniques for Modeling Channel and Session Variability in a Speaker Recognition System Remus, Jeremiah In: DTIC (2012) Abstract: The robustness of any speaker recognition system is dependent on its capability for managing the variability in the recording environment. A better ability to quantify that variation may lead to the development of improved methods for reducing the non-speaker influences on performance. In this study, subspace decomposition in combination with three pattern classification techniques was investigated to assess its appropriateness for performing speaker recognition on the MultiRoom8 corpus, a data set with several room and microphone conditions. A partial least squares decomposition of the GMM supervector in combination with a nearest neighbor classifier was consistently a top-performer on the 100 experimental setups consider in this study, which may suggest an approach for mitigating the effects of room and microphone variability in a speaker recognition system through projections to a lower-dimensional feature space. ; The original document contains color images. Keyword: *SPEECH RECOGNITION; CHANNEL VARIABILITY; CHANNELS; CLASSIFICATION; DATA BASES; DECOMPOSITION; ENVIRONMENTS; LEAST SQUARES METHOD; MICROPHONES; MODELS; PATTERN CLASSIFICATIONS; PATTERNS; RECORDING SYSTEMS; SKILLS; SPACE(ROOM); SPEAKER IDENTIFICATION; VARIATIONS; Voice Communications; WUAFRLASIDBA01 URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA557785 http://www.dtic.mil/docs/citations/ADA557785 BASE Hide details

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