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127
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ICASSP
2011
IEEE
14 years 7 months ago
Analysis of phone confusion in EMG-based speech recognition
In this paper we present a study on phone confusabilities based on phone recognition experiments from facial surface electromyographic (EMG) signals. In our study EMG captures the...
Michael Wand, Tanja Schultz
129
Voted
ACL
2004
15 years 5 months ago
Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
The detection of prosodic characteristics is an important aspect of both speech synthesis and speech recognition. Correct placement of pitch accents aids in more natural sounding ...
Michelle L. Gregory, Yasemin Altun
118
Voted
ICASSP
2010
IEEE
15 years 3 months ago
HMM-based pseudo-clean speech synthesis for splice algorithm
In this paper, we present a novel approach to relax the constraint of stereo-data which is needed in a series of algorithms for noise-robust speech recognition. As a demonstration...
Jun Du, Yu Hu, Li-Rong Dai, Ren-Hua Wang
132
Voted
ICCV
2005
IEEE
15 years 9 months ago
Visual Speech Recognition with Loosely Synchronized Feature Streams
We present an approach to detecting and recognizing spoken isolated phrases based solely on visual input. We adopt an architecture that first employs discriminative detection of ...
Kate Saenko, Karen Livescu, Michael Siracusa, Kevi...
149
Voted
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...