ALIZE/SpkDet: a state-of-the-art open source software for speaker recognition Jean-Franc¸ois Bonastre1 , Nicolas Scheffer1 , Driss Matrouf1 , Corinne Fredouille1 , Anthony Larcher1 , Alexandre Preti1 , Gilles Pouchoulin

Source URL: mistral.univ-avignon.fr

INTERSPEECHTopological representation of speech for speaker recognition Gabriel H. Sierra1,2 , Jean-F. Bonastre2 , Driss Matrouf2 ,Jose R. Calvo1 1

Source URL: mistral.univ-avignon.fr

AANN-HMM Models for Speaker Verification and Speech Recognition Sachin Joshi, Kishore Prahallad, B. Yegnanarayana Abstract— Pattern classification is an important task in speech recognition and speaker verification. Gi

Source URL: ravi.iiit.ac.in

Odyssey 2012 The Speaker and Language Recognition WorkshopJune 2012, Singapore Description and analysis of the Brno276 system for LRE2011 Niko Br¨ummer,2 Sandro Cumani,3 Ondˇrej Glembek,1 Martin Karafi´at,1 Pav

Source URL: www.fit.vutbr.cz

• Algebra
• Mathematics
• Vectors
• Abstract algebra
• Linear algebra
• Machine learning
• Computer accessibility
• Speech recognition
• Euclidean vector
• Pattern recognition
• National Institute of Standards and Technology
• Calibration

Impact of Noise Reduction and Spectrum Estimation on Noise Robust Speaker Identification Keith W. Godin, Seyed Omid Sadjadi, John H. L. Hansen? Center for Robust Speech Systems (CRSS) The University of Texas at Dallas, R

Source URL: crss.utdallas.edu

• Time series analysis
• Linear filters
• Estimation theory
• Stochastic processes
• Computer accessibility
• Speech recognition
• Wiener filter
• Speech coding
• Speech enhancement
• Noise reduction

Human vs Machine Spoofing Detection on Wideband and Narrowband Data Mirjam Wester1 , Zhizheng Wu1 , Junichi Yamagishi1,2 1 The Centre for Speech Technology Research, The University of Edinburgh, UK 2

Source URL: www.cstr.ed.ac.uk

• Computing
• Security
• Humancomputer interaction
• Automatic identification and data capture
• Computational linguistics
• Speech processing
• Computer network security
• Computer accessibility
• Speech recognition
• Speaker recognition
• Biometrics
• Spoofing attack

Multi-View Learning of Acoustic Features for Speaker Recognition Karen Livescu 1 , Mark Stoehr 2 1 1

Source URL: ttic.uchicago.edu

Odyssey 2012 The Speaker and Language Recognition WorkshopJune 2012, Singapore Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification

Source URL: www.fit.vutbr.cz

• Algebra
• Mathematics
• Linear algebra
• Automatic identification and data capture
• Machine learning
• Vectors
• Computational linguistics
• Subspace Gaussian Mixture Model
• Speech recognition
• Mixture model
• Pattern recognition
• Euclidean vector

Wed.O7b.05 Mean Hilbert Envelope Coefficients (MHEC) for Robust Speaker Recognition

Source URL: crss.utdallas.edu

• Algebra
• Mathematics
• Signal processing
• Automatic identification and data capture
• Mel-frequency cepstrum
• Music information retrieval
• Speaker recognition
• Microphone
• Loudspeaker
• Eigenvalues and eigenvectors

ROBUST FRONT-END PROCESSING FOR SPEAKER IDENTIFICATION OVER EXTREMELY DEGRADED COMMUNICATION CHANNELS Seyed Omid Sadjadi and John H.L. Hansen Center for Robust Speech Systems (CRSS), The University of Texas at Dallas, Ri

Source URL: crss.utdallas.edu

• Signal processing
• Computational linguistics
• Time series analysis
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Voice activity detection
• Lawrence Rabiner
• Speech coding
• Autocorrelation
• Speech enhancement
• Linear prediction