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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 – 8 of 8 1 CASA-based robust speaker identification Shao, Yang; Zhao, Xiaojian; Wang, DeLiang In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 5, 1608-1616 BLLDB OLC Linguistik Show details 2 A computational auditory scene analysis system for speech segregation and robust speech recognition Shao, Yang; Srinivasan, Soundararajan; Jin, Zhaozhang... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 1, 77-93 OLC Linguistik Show details 3 A computational auditory scene analysis system for speech segregation and robust speech recognition Jin, Zhaozhang; Srinivasan, Soundararajan; Wang, DeLiang... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 1, 77-93 BLLDB OLC Linguistik Show details 4 Sequential organization of speech in computational auditory scene analysis Wang, DeLiang; Shao, Yang In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 8, 657-667 BLLDB OLC Linguistik Show details 5 Sequential organization of speech in computational auditory scene analysis Shao, Yang; Wang, DeLiang In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 8, 657-667 OLC Linguistik Show details 6 Monaural Speech Segregation by Integrating Primitive and Schema-Based Analysis Srinivasan, Soundar; Wang, DeLiang; Roman, Nicoleta... In: DTIC (2008) BASE Show details 7 A Computational Auditory Scene Analysis System for Speech Segregation and Robust Speech Recognition Shao,Yang; Srinivasan,Soundararajan; Jin,Zhaozhang; Wang,DeLiang. - 2007 Abstract: A conventional automatic speech recognizer does not perform well in the presence of multiple sound sources, while human listeners are able to segregate and recognize a signal of interest through auditory scene analysis. We present a computational auditory scene analysis system for separating and recognizing target speech in the presence of competing speech ornoise. We estimate, in two stages, the ideal binary time-frequency (T-F) mask which retainsthe mixture in a local T-F unit if and only if the target is stronger than the interference within the unit. In the first stage, we use harmonicity to segregate the voiced portions of individual sources in each time frame based on multipitch tracking. Additionally, unvoiced portions are segmented based on an onset/offset analysis. In the second stage, speaker characteristics are used to group the T-F units across time frames. The resulting masks are used in an uncertainty decoding framework for automatic speech recognition. We evaluate our system on a speech separation challenge and show that our system yields substantial improvement over the baseline performance. ; 01 Dec 1900, 01 Dec 1900 Keyword: auditory signals; BINARY TIME-FREQUENCY MASK; CASA(COMPUTATIONAL AUDITORY SCENE ANALYSIS); noise; ROBUST SPEECH RECOGNITION; speech; speech analysis; speech recognition; SPEECH SEGREGATION; UNCERTAINTY DECODING FRAMEWORKS; VOICE COMMUNICATIONS URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1001212 http://www.dtic.mil/docs/citations/AD1001212 BASE Hide details 8 Model-based sequential organization in cochannel speech Wang, DeLiang; Shao, Yang In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 1, 289-298 BLLDB OLC Linguistik Show details

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