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» Analysis-by-synthesis features for speech recognition
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ICPR
2004
IEEE
14 years 8 months ago
Structural Representation of Speech for Phonetic Classification
This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation ...
Alexander Gutkin, Simon King
INTERSPEECH
2010
13 years 2 months ago
Predicting word accuracy for the automatic speech recognition of non-native speech
We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
Su-Youn Yoon, Lei Chen, Klaus Zechner
ICMCS
2005
IEEE
128views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Low-complexity automatic speaker recognition in the compressed GSM AMR domain
This paper presents an experimental implementation of a low-complexity speaker recognition algorithm working in the compressed speech domain. The goal is to perform speaker modeli...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
ICASSP
2011
IEEE
12 years 11 months ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...