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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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INTERSPEECH
2010
13 years 2 months ago
Impact of lack of acoustic feedback in EMG-based silent speech recognition
This paper presents our recent advances in speech recognition based on surface electromyography (EMG). This technology allows for Silent Speech Interfaces since EMG captures the e...
Matthias Janke, Michael Wand, Tanja Schultz
ICASSP
2009
IEEE
14 years 2 months ago
Posterior features applied to speech recognition tasks with user-defined vocabulary
This paper presents a novel approach for those applications where vocabulary is defined by a set of acoustic samples. In this approach, the acoustic samples are used as reference...
Guillermo Aradilla, Hervé Bourlard, Mathew ...
ICASSP
2011
IEEE
12 years 11 months ago
Speech processing with a cortical representation of audio
Neurophysiological studies in the primary auditory cortex have recently demonstrated a rich diversity of responses that provide an explicit multidimensional representation of phon...
Nima Mesgarani, Shihab A. Shamma
ICASSP
2011
IEEE
12 years 11 months ago
MLP based phoneme detectors for Automatic Speech Recognition
Phoneme posterior probabilities estimated using Multi-Layer Perceptrons (MLPs) are extensively used both as acoustic scores and features for speech recognition. In this paper we e...
Samuel Thomas, Patrick Nguyen, Geoffrey Zweig, Hyn...
ICASSP
2008
IEEE
14 years 1 months ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan