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» Efficient Gaussian Mixture for Speech Recognition
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NOLISP
2005
Springer
15 years 5 months ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...
ICASSP
2011
IEEE
14 years 3 months ago
Sentence level emotion recognition based on decisions from subsentence segments
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
Je Hun Jeon, Rui Xia, Yang Liu
91
Voted
ICASSP
2010
IEEE
14 years 12 months ago
Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
Class posterior distributions have recently been used quite successfully in Automatic Speech Recognition (ASR), either for frame or phone level classification or as acoustic featu...
Afsaneh Asaei, Benjamin Picart, Hervé Bourl...
NOLISP
2005
Springer
15 years 5 months ago
MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
Dalei Wu, Andrew C. Morris, Jacques C. Koreman
82
Voted
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
14 years 10 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