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ICASSP
2011
IEEE
12 years 11 months ago
Shout detection in noise
For the task of detecting shouted speech in a noisy environment, this paper introduces a system based on mel frequency cepstral coefficient (MFCC) feature extraction, unsupervise...
Jouni Pohjalainen, Paavo Alku, Tomi Kinnunen
ICASSP
2008
IEEE
14 years 2 months ago
Combination of strongly and weakly constrained recognizers for reliable detection of OOVS
This paper addresses the detection of OOV segments in the output of large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence measures based on fr...
Lukas Burget, Petr Schwarz, Pavel Matejka, Mirko H...
ICASSP
2011
IEEE
12 years 11 months ago
Using morpheme and syllable based sub-words for polish LVCSR
Polish is a synthetic language with a high morpheme-perword ratio. It makes use of a high degree of inflection leading to high out-of-vocabulary (OOV) rates, and high Language Mo...
M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schl...
CSUR
1999
96views more  CSUR 1999»
13 years 7 months ago
Informedia Experience-on-Demand: Capturing, Integrating and Communicating Experiences across People, Time and Space
The Informedia Experience-on-Demand system uses speech, image, and natural language processing combined with GPS information to capture, integrate, and communicate personal multim...
Howard D. Wactlar, Michael G. Christel, Alexander ...
ICASSP
2008
IEEE
14 years 2 months ago
Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments
Automatic Speech Recognition (ASR) systems continue to make errors during search when handling various phenomena including noise, pronunciation variation, and out of vocabulary (O...
Christopher M. White, Geoffrey Zweig, Lukas Burget...