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» Context-Aided Human Recognition - Clustering
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ICASSP
2011
IEEE
14 years 10 months ago
Computer-assisted transcription of speech based on confusion network reordering
Large vocabulary automatic speech recognition (ASR) technologies perform well in known and controlled contexts. In less controlled conditions, however, human review is often neces...
Antoine Laurent, Sylvain Meignier, Téva Mer...
ICASSP
2011
IEEE
14 years 10 months ago
On the use of ideal binary masks for improving phonetic classification
Ideal binary masks are binary patterns that encode the masking characteristics of speech in noise. Recent evidence in speech perception suggests that such binary patterns provide ...
Arun Narayanan, DeLiang Wang
188
Voted
ICIP
1997
IEEE
16 years 8 months ago
Using the Fourier Slice Theorem for Representation of Object Views and Models with application to Face Recognition
A novel method unifying viewer and model centered approaches for representing structurally complex 3-D objects like human faces is presented. The uni ed 3D frequency-domain repres...
Dibyendu Nandy, Jezekiel Ben-Arie
197
Voted
ICASSP
2009
IEEE
16 years 1 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
CIARP
2009
Springer
16 years 1 months ago
Handwritten Word Recognition Using Multi-view Analysis
This paper brings a contribution to the problem of efficiently recognizing handwritten words from a limited size lexicon. For that, a multiple classifier system has been developed...
José Josemar de Oliveira Jr., Cinthia Oblad...