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A Bayesian Approach to Audio-Visual Speaker Identification ...
https://link.springer.com/chapter/10.1007/3-540-44887-X_88
In this paper we describe a text dependent audio-visual speaker identification approach that combines face recognition and audio-visual speech-based identification systems. ... (2003) A Bayesian Approach to Audio-Visual Speaker Identification. In: Kittler J., Nixon M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003 ...
A Bayesian Approach to Audio-Visual Speaker …
https://www.researchgate.net/publication/221597685_A_Bayesian_Approach_to_Audio-Visual_Speaker_Identification
Request PDF | A Bayesian Approach to Audio-Visual Speaker Identification | In this paper we describe a text dependent audio-visual speaker identification approach …
Dynamic Bayesian Networks for Audio-Visual Speaker Recognition
https://link.springer.com/chapter/10.1007/11608288_72
Audio-Visual speaker recognition promises higher performance than any single modal biometric systems. This paper further improves the novel approach based on Dynamic Bayesian Networks (DBNs) to bimodal speaker recognition. In the present paper, we investigate five different topologies of feature-level fusion framework using DBNs.
Audio-visual speaker detection using dynamic Bayesian ...
https://www.researchgate.net/publication/3845457_Audio-visual_speaker_detection_using_dynamic_Bayesian_networks
In [15], the authors construct a speaker detector by fusing multiple audio and video sensors, such as skin color, mouth motion, and audio silence detector, using dynamic Bayesian network which ...
Vision-based speaker detection using Bayesian networks (1999)
https://citeseer.ist.psu.edu/showciting?cid=275241
1. INTRODUCTION The visual motion of a speaker's mouth is highly correlated with the audio data generated from the voicebox and mouth [5]. This fact has been exploited for lip/speechreading (e.g, [14] [10]) and for combined audio-visual speech recognition (e.g., [3]). We utilize this correlation to detect speakers using video and audio inp...
Bayesian networks in multimodal speech recognition and ...
https://www.researchgate.net/publication/224747987_Bayesian_networks_in_multimodal_speech_recognition_and_speaker_identification
The audio-visual speaker identification accuracy is enhanced in a late decision approach that integrates the audio-visual speech likelihood and the face likelihood computed using an …
Audio-visual speaker identification with asynchronous ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005410679
A visual component is considerably supplementary to audio information and the apparent asynchrony between acoustic and visual cues may be effectively represented by an asynchronous articulatory feature. A new approach to speaker identification using an articulatory feature-based audio-visual model based on the dynamic Bayesian network is presented.
Audio-visual emotion recognition using gaussian mixture ...
https://citeseer.ist.psu.edu/showciting?cid=21281267
Audio-visual emotion recognition using gaussian mixture models for face and voice (2008) by A Metallinou, S Lee, S Narayanan ... voice and head movement cues for emo-tion recognition and we fuse classifiers using a Bayesian framework. The facial classifier is the best performing followed by the voice and head classifiers and the multiple ...
Audio-Visual Signal Processing - Ara Nefian
http://www.anefian.com/research/avsp.htm
Ara V. Nefian, Luhong Liang, Tyean Fu and Xiaoxing Liu, A Bayesian approach to audio visual . speaker identification , IEEE International Conference on Audio-and Video- based Biometric Person . Authentication, June 2003. Xiaoxing Liu, Yibao Zhao, Xiaobo Pi, Luhong Liang and Ara V. Nefian, Audio-visual continuous speech . recognition using a ...
Multi-level Fusion of Audio and Visual Features for ...
https://link.springer.com/chapter/10.1007/11608288_66
Abstract. This paper explores the fusion of audio and visual evidences through a multi-level hybrid fusion architecture based on dynamic Bayesian network (DBN), which combines model level and decision level fusion to achieve higher performance. In model level fusion, a new audio-visual correlative model (AVCM) based on DBN is proposed, which describes both the …
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