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» A hierarchical point process model for speech recognition
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ICASSP
2010
IEEE
14 years 8 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
IJCNN
2000
IEEE
15 years 1 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
ICASSP
2010
IEEE
14 years 10 months ago
HMM-based sequence-to-frame mapping for voice conversion
Voice conversion can be reduced to a problem to find a transformation function between the corresponding speech sequences of two speakers. Perhaps the most voice conversions meth...
Yu Qiao, Daisuke Saito, Nobuaki Minematsu
IROS
2006
IEEE
180views Robotics» more  IROS 2006»
15 years 4 months ago
Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World
— This paper presents a robot audition system that recognizes simultaneous speech in the real world by using robotembedded microphones. We have previously reported Missing Featur...
Shun'ichi Yamamoto, Kazuhiro Nakadai, Mikio Nakano...
TSD
2010
Springer
14 years 8 months ago
Recovery of Rare Words in Lecture Speech
The vocabulary used in speech usually consists of two types of words: a limited set of common words, shared across multiple documents, and a virtually unlimited set of rare words, ...
Stefan Kombrink, Mirko Hannemann, Lukas Burget, Hy...