A Phonetically Switched ADPCM speech coder Pravin Ramadas and Jerry D. Gibson Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA Email: {pravin_ramadas, gibson}@ece.ucsb.edu A

Source URL: vivonets.ece.ucsb.edu

• Audio codecs
• Computer file formats
• Digital audio
• Human communication
• Audio electronics
• Computing
• Adaptive differential pulse-code modulation
• Voice activity detection
• Voice
• Pulse-code modulation
• Speech coding
• Image segmentation

Speaker Recognition in Encrypted Voice Streams Michael Backes1,2 , Goran Doychev1 , Markus D¨ urmuth1 , and Boris K¨opf2 1 2

Source URL: software.imdea.org

• Open formats
• Computing
• Speex
• Free software
• Voice over IP
• Discontinuous transmission
• Voice activity detection
• Transmission Control Protocol
• Speech coding
• Software

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

DEVELOPING A SPEAKER IDENTIFICATION SYSTEM FOR THE DARPA RATS PROJECT

Source URL: www.fit.vutbr.cz

• Signal processing
• Computational linguistics
• Estimation theory
• Computing
• Statistics
• Electrical engineering
• Speech recognition
• Digital signal processing
• Voice activity detection
• Support vector machine
• Machine learning
• Linear prediction

USING VARIATIONAL BAYES FREE ENERGY FOR UNSUPERVISED VOICE ACTIVITY DETECTION David Cournapeau, Tatsuya Kawahara Graduate School of Informatics, Kyoto University Sakyo-ku, Kyoto, Japan .

Source URL: www.ar.media.kyoto-u.ac.jp

INTERSPEECHICSLP Evaluation of Voice Activity Detection by Combining Multiple Features with Weight Adaptation Yusuke Kida and Tatsuya Kawahara School of Informatics, Kyoto University

Source URL: www.ar.media.kyoto-u.ac.jp

USING ONLINE MODEL COMPARISON IN THE VARIATIONAL BAYES FRAMEWORK FOR ONLINE UNSUPERVISED VOICE ACTIVITY DETECTION David Cournapeau1 , Shinji Watanabe2 , Atsushi Nakamura2 , Tatsuya Kawahara1 1 2

Source URL: www.ar.media.kyoto-u.ac.jp

INTERSPEECHSelection of optimal vocal tract regions using real-time magnetic resonance imaging for robust voice activity detection Abhay Prasad1, Prasanta Kumar Ghosh2 , Shrikanth S Narayanan3 1

Source URL: sail.usc.edu

CONTINUOUS ASR FOR FLEXIBLE INCREMENTAL DIALOGUE C. Breslin, M. Gaˇsi´c, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis, K. Yu and S. Young Cambridge University Engineering Department Cambr

Source URL: mi.eng.cam.ac.uk

• User interface techniques
• Digital signal processing
• Voice activity detection
• Dialog system
• Computational linguistics
• Human–computer interaction
• Speech recognition

8th ISCA Speech Synthesis Workshop • August 31 – September 2, 2013 • Barcelona, Spain Using Adaptation to Improve Speech Transcription Alignment in Noisy and Reverberant Environments Y. Mamiya1 , A. Stan2 , J. Yam

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

• Electronics
• Signal processing
• Acoustics
• Computer accessibility
• Voice activity detection
• Reverberation
• Signal-to-noise ratio
• Noise
• Speech synthesis
• Computational linguistics
• Science
• Speech recognition