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» Robust speech recognition using dynamic noise adaptation
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ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
14 years 23 days ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris
TASLP
2002
124views more  TASLP 2002»
13 years 7 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
NAACL
1994
13 years 8 months ago
Signal Processing for Robust Speech Recognition
This paper describes several new cepstral-based compensation procedures that render the SPHINX-II system more robust with respect to acoustical environment. The first algorithm, p...
Fu-Hua Liu, Pedro J. Moreno, Richard M. Stem, Alej...
CVPR
2012
IEEE
11 years 10 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
ICDAR
1999
IEEE
13 years 11 months ago
Robust Telop Character Recognition in Video for Content-based Retrieval
The recognition of telop characters in video has two problems: edge degradation and background noise. To overcome these problems, this paper proposes; (1) a feature that describes...
Minoru Mori, Shoji Kurakake, Toshiaki Sugimura