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» Signal Processing for Robust Speech Recognition
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ICASSP
2011
IEEE
12 years 9 months ago
Learning vocal tract variables with multi-task kernels
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
Hachem Kadri, Emmanuel Duflos, Philippe Preux
ICASSP
2011
IEEE
12 years 9 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...
ICASSP
2008
IEEE
14 years 6 days ago
Segmentation of a speech spectrogram using mathematical morphology
It has been shown that speech spectrograms can be read by trained experts. In this work, we regard the speech spectrogram image as a written text in some unknown language and perf...
Raphael Steinberg, Douglas D. O'Shaughnessy
ICASSP
2011
IEEE
12 years 9 months ago
Structured discriminative models for noise robust continuous speech recognition
Recently there has been interest in structured discriminative models for speech recognition. In these models sentence posteriors are directly modelled, given a set of features ext...
Anton Ragni, Mark John Francis Gales
ICASSP
2011
IEEE
12 years 9 months ago
Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition
This paper addresses a noise suppression problem, namely the estimation of non-stationary noise sequences. In this problem, we assume that non-stationary noise can be decomposed i...
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakat...