PDF-IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING VOL

7 NO 6 NOVEMBER 1999 An Objective Technique for Evaluating Doubletalk Detectors in Acoustic Echo Cancelers Jun H Cho Member IEEE Dennis R Morgan Senior Member IEEE and Jacob Benesty Member IEEE Abstract Echo cancelers commonly employ a doubletalk de. 20 NO 1 JANUARY 2012 ContextDependent PreTrained Deep Neural Networks for LargeVocabulary Speech Recognition George E Dahl Dong Yu Senior Member IEEE Li Deng Fellow IEEE and Alex Acero Fellow IEEE Abstract We propose a novel contextdependent This requires however that the precise locations of the Glottal Closure Instant GCIs are available The focus of this paper is the evaluation of automatic methods for the detection of GCIs directly from the speech waveform Five stateoftheart GCI dete 15 NO 1 JANUARY 2007 Estimation of Glottal Closure Instants in Voiced Speech Using the DYPSA Algorithm Patrick A Naylor Member IEEE Anastasis Kounoudes Member IEEE Jon Gudnason Member IEEE and Mike Brookes Member IEEE Abstract We present the 7 NO 6 NOVEMBER 1999 609 Robustness of GroupDelayBased Method for Extraction of Signi64257cant Instants of Excitation from Speech Signals P Satyanarayana Murthy and B Yegnanarayana Senior Member IEEE Abstract In this paper we study the robustness of 8 NO 2 MARCH 2000 A New Class of Doubletalk Detectors Based on CrossCorrelation Jacob Benesty Member IEEE Dennis R Morgan Senior Member IEEE and Jun H Cho Abstract A doubletalk detector DTD is used with an echo can celer to sense when farend spe 17 NO 7 SEPTEMBER 2009 Convolutive Transfer Function Generalized Sidelobe Canceler Ronen Talmon Israel Cohen Senior Member IEEE and Sharon Gannot Senior Member IEEE Abstract In this paper we propose a convolutive transfer func tion generalized si 17 NO 7 SEPTEMBER 2009 Babble Noise Modeling Analysis and Applications Nitish Krishnamurthy Student Member IEEE and John H L Hansen Fellow IEEE Abstract Speech babble is one of the most challenging noise interference for all speech systems Here a g noise reduction to reduce the socalled cockt ail party dif64257culty In the available systems the fact that the babble waveform is generated as a sum of N differ ent speech waveforms is not exploited explicitly In this paper 64257rst we develop a g ASSP28 NO 4 AUGUST 1980 357 Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences AkfractSeveral parametric representations of the acoustic signal were compared with regard to word recognition pe 8 NO 6 NOVEMBER 2000 A Computationally Efficient Multipitch Analysis Model Tero Tolonen Student Member IEEE and Matti Karjalainen Member IEEE Abstract A computationally efficient model for multipitch and periodicity analysis of complex audio signa 16 NO 8 NOVEMBER 2008 Epoch Extraction From Speech Signals K Sri Rama Murty and B Yegnanarayana Senior Member IEEE Abstract Epoch is the instant of signi64257cant excitation of the vocaltract system during production of speech For most voiced speec Information Processing & Artificial Intelligence. New-Generation Models & Methodology for Advancing . AI & SIP. Li Deng . Microsoft Research, Redmond, . USA. Tianjin University, July 4, 2013 (Day 3). Digital Audio Signal Processing. . Marc Moonen. Dept. E.E./ESAT-STADIUS, KU Leuven. marc.moonen@esat.kuleuven.be. homes.esat.kuleuven.be. /~. moonen. /. Speech & Audio Processing. Part-I. (H. Van . Digital Audio Signal Processing. . Marc Moonen. Dept. E.E./ESAT-STADIUS, KU Leuven. marc.moonen@esat.kuleuven.be. homes.esat.kuleuven.be. /~. moonen. /. Speech & Audio Processing. Part-I. (H. Van .