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ICASSP
2011
IEEE
12 years 11 months ago
Discriminative training for Bayesian sensing hidden Markov models
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
George Saon, Jen-Tzung Chien
CVPR
2008
IEEE
13 years 9 months ago
An integrated background model for video surveillance based on primal sketch and 3D scene geometry
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
13 years 6 months ago
The Use of Group Delay Features of Linear Prediction Model for Speaker Recognition
Abstract. New text independent speaker identification method is presented. Phase spectrum of allpole linear prediction (LP) model is used to derive the speech features. The featur...
Algirdas Bastys, Andrej Kisel, Bernardas Salna
ICPR
2004
IEEE
14 years 9 months ago
On-Line Adaptive Background Modelling for Audio Surveillance
In this paper, we investigate the problem of automatic audio surveillance. This aspect of the surveillance, which extends the more investigated area of video surveillance, can be ...
Marco Cristani, Manuele Bicego, Vittorio Murino
ICASSP
2009
IEEE
14 years 2 months ago
Modeling instantaneous intonation for speaker identification using the fundamental frequency variation spectrum
In recent years, the field of automatic speaker identification has begun to exploit high-level sources of speaker-discriminative information, in addition to traditional models o...
Kornel Laskowski, Qin Jin