Proc. of the 1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017 Audio-Visual Speech Recognition for a Person with Severe Hearing Loss Using Deep Canonical Cor

Source URL: www.me.cs.scitec.kobe-u.ac.jp

Robust AAM-Based Audio-Visual Speech Recognition against Face Direction Changes Yuto Komai Nan Yang - u.ac.jp

Source URL: www.me.cs.scitec.kobe-u.ac.jp

21st International Conference on Pattern Recognition (ICPRNovember 11-15, 2012. Tsukuba, Japan Audio-Visual Data Association for Face Expression Analysis Ashish Tawari and Mohan Trivedi University of California Sa

Source URL: cvrr.ucsd.edu

• Artificial intelligence
• User interface techniques
• Humancomputer interaction
• Brain
• Emotion
• Computational neuroscience
• Computer accessibility
• Speech recognition
• Gesture recognition
• Facial expression
• Artificial neural network
• Pattern recognition

AUTOMATIC LANGUAGE IDENTIFICATION IN MUSIC VIDEOS WITH LOW LEVEL AUDIO AND VISUAL FEATURES Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross Google, IncAmphitheatre Parkway Mountain View, CA 94043

Source URL: www.cs.toronto.edu

• Information science
• Information retrieval
• Music information retrieval
• Image segmentation
• Mel-frequency cepstrum
• YouTube
• Visual descriptor
• Support vector machine
• Speech recognition

PhD Topic: Robust audio-visual speech recognition Closing Date: 29th Feb 2016

Source URL: adaptcentre.ie

Feature Based Representation for Audio-Visual Speech Recognition Partha Niyogi, Eric Petajan, Jialin Zhong Bell Labs – Lucent Technologies Murray Hill, NJ 07974, USA. ABSTRACT

Source URL: people.cs.uchicago.edu

AN ASYNCHRONOUS DBN FOR AUDIO-VISUAL SPEECH RECOGNITION Kate Saenko and Karen Livescu Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, USA, 02139 ABSTRACT

Source URL: ttic.uchicago.edu

Articulatory Feature-based Methods for Acoustic and Audio-Visual Speech Recognition: 2006 JHU Summer Workshop Final Report1 Karen Livescu (), ¨ ur C Ozg¨

Source URL: ttic.uchicago.edu

ARTICULATORY FEATURE-BASED METHODS FOR ACOUSTIC AND AUDIO-VISUAL SPEECH RECOGNITION: SUMMARY FROM THE 2006 JHU SUMMER WORKSHOP ¨ ur C¸etin2 , Mark Hasegawa-Johnson3 , Simon King4 , Chris Bartels5 , Karen Livescu1 , Ozg

Source URL: ttic.uchicago.edu

ARTICULATORY FEATURE-BASED METHODS FOR ACOUSTIC AND AUDIO-VISUAL SPEECH RECOGNITION: SUMMARY FROM THE 2006 JHU SUMMER WORKSHOP ¨ ur C¸etin2 , Mark Hasegawa-Johnson3 , Simon King4 , Chris Bartels5 , Karen Livescu1 , Ozg

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