Sciweavers

376 search results - page 13 / 76
» Analysis-by-synthesis features for speech recognition
Sort
View
ICASSP
2009
IEEE
14 years 4 months ago
Posterior features applied to speech recognition tasks with user-defined vocabulary
This paper presents a novel approach for those applications where vocabulary is defined by a set of acoustic samples. In this approach, the acoustic samples are used as reference...
Guillermo Aradilla, Hervé Bourlard, Mathew ...
TSP
2010
13 years 4 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss
TASLP
2002
124views more  TASLP 2002»
13 years 9 months ago
Automatic speech recognition performance on a voicemail transcription task
Abstract--In this paper, we report on the performance of automatic speech recognition (ASR) systems on voicemail transcription. Voicemail is spontaneous telephone speech recorded o...
Mukund Padmanabhan, George Saon, Jing Huang, Brian...
ICASSP
2010
IEEE
13 years 8 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
IEICET
2008
63views more  IEICET 2008»
13 years 9 months ago
Bi-Spectral Acoustic Features for Robust Speech Recognition
Kazuo Onoe, Shoei Sato, Shinichi Homma, Akio Kobay...