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ACSC
2006
IEEE
14 years 2 months ago
On compensating the Mel-frequency cepstral coefficients for noisy speech recognition
This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution...
Eric H. C. Choi
ICASSP
2011
IEEE
13 years 15 days ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...
ICASSP
2011
IEEE
13 years 15 days ago
Language identification for singing
In spoken language processing, considerable research has been accomplished on language identi cation. Singing language identi cation is an important yet challenging area that has ...
Mahnoosh Mehrabani, John H. L. Hansen
CSL
2004
Springer
13 years 8 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales
INTERSPEECH
2010
13 years 3 months ago
Towards mixed language speech recognition systems
Multilingual speech recognition obviously involves numerous research challenges, including common phoneme sets, adaptation on limited amount of training data, as well as mixed lan...
David Imseng, Hervé Bourlard, Mathew Magima...