Publication:
Morphological processing of a dynamic compressive gammachirp filterbank for automatic speech recognition

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ISBN: 978-84-616-1535-2
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2012
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Universidad Autonoma De Madrid. Escuela Politécnica Superior
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Abstract
The Dynamic Compressive Gammachirp is presented for producing auditory-inspired feature extraction in Automatic Speech Recognition. The proposed acoustic features combine spectral subtraction and two-dimensional non-linear filtering technique most usually employed for image processing: morphological filtering. These features have been proven to be more robust to noisy speech than those based on simpler auditory filterbanks like the classical mel-scaled triangular filterbank, the Gammatone filterbank and the passive Gammachirp in a noisy Isolet database.
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Actas de: VII Jornadas en Tecnología del Habla and III Iberian SLTECH Workshop (IberSPEECH 2012). Madrid, 21-23 noviembre 2012.
Keywords
Spectral subtraction, Morphological processing, Automatic speech recognition, Auditory-based features.
Bibliographic citation
Proceedings IberSPEECH 2012: VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop. (pp. 53-62). Madrid: Universidad Autónoma de Madrid. Escuela Politécnica Superior.