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» The limits of speech recognition
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AAAI
2010
13 years 10 months ago
Intelligently Aiding Human-Guided Correction of Speech Recognition
Correcting recognition errors is often necessary in a speech interface. These errors not only reduce users' overall entry rate, but can also lead to frustration. While making...
Keith Vertanen, Per Ola Kristensson
ICML
2006
IEEE
14 years 9 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
CVPR
2004
IEEE
14 years 10 months ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
ESANN
2007
13 years 10 months ago
A hierarchical model for syllable recognition
Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
ICMCS
2008
IEEE
123views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Effective post-processing for single-channel frequency-domain speech enhancement
Conventional frequency-domain speech enhancement filters improve signal-to-noise ratio (SNR), but also produce speech distortions. This paper describes a novel post-processing al...
Weifeng Li