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» Emotion recognition using imperfect speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
14 years 8 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
ICASSP
2010
IEEE
14 years 8 months ago
Simple methods for improving speaker-similarity of HMM-based speech synthesis
In this paper we revisit some basic configuration choices of HMMbased speech synthesis, such as waveform sampling rate, auditory frequency warping scale and the logarithmic scali...
Junichi Yamagishi, Simon King
ICPR
2008
IEEE
15 years 4 months ago
Noise robust voice detector for speaker recognition
The effect of additive noise in a speaker recognition system is well known to be a crucial problem in real life applications. In a speaker recognition system, if the test utteranc...
Gabriel Hernández, José R. Calvo, Ra...
NAACL
1994
14 years 11 months ago
A One Pass Decoder Design For Large Vocabulary Recognition
To achieve reasonable accuracy in large vocabulary speech recognition systems, it is important to use detailed acoustic models together with good long span language models. For ex...
J. J. Odell, V. Valtchev, Philip C. Woodland, S. J...