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ICASSP
2010
IEEE
13 years 8 months ago
HMM-based separation of acoustic transfer function for single-channel sound source localization
This paper presents a sound source (talker) localization method using only a single microphone, where a HMM (Hidden Markov Model) of clean speech is introduced to estimate the aco...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
ICPR
2010
IEEE
13 years 8 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
CSL
2007
Springer
13 years 8 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
JMLR
2006
125views more  JMLR 2006»
13 years 8 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
PAMI
2008
159views more  PAMI 2008»
13 years 8 months ago
Analysis of Head Gesture and Prosody Patterns for Prosody-Driven Head-Gesture Animation
We propose a new two-stage framework for joint analysis of head gesture and speech prosody patterns of a speaker toward automatic realistic synthesis of head gestures from speech p...
Mehmet Emre Sargin, Yücel Yemez, Engin Erzin,...