Title
Neuromorphic detection of speech dynamics
Abstract
Speech and voice technologies are experiencing a profound review as new paradigms are sought to overcome some specific problems which cannot be completely solved by classical approaches. Neuromorphic Speech Processing is an emerging area in which research is turning the face to understand the natural neural processing of speech by the Human Auditory System in order to capture the basic mechanisms solving difficult tasks in an efficient way. In the present paper a further step ahead is presented in the approach to mimic basic neural speech processing by simple neuromorphic units standing on previous work to show how formant dynamics - and henceforth consonantal features - can be detected by using a general neuromorphic unit which can mimic the functionality of certain neurons found in the upper auditory pathways. Using these simple building blocks a General Speech Processing Architecture can be synthesized as a layered structure. Results from different simulation stages are provided as well as a discussion on implementation details. Conclusions and future work are oriented to describe the functionality to be covered in the next research steps.
Year
DOI
Venue
2011
10.1016/j.neucom.2010.07.023
Neurocomputing
Keywords
Field
DocType
neuromorphic computing,speech processing
Speech processing,Auditory pathways,Architecture,Neural processing,Computer science,Neuromorphic engineering,Speech recognition,Artificial intelligence,Formant,Neurocomputational speech processing,Human auditory system,Machine learning
Journal
Volume
Issue
ISSN
74
8
0925-2312
Citations 
PageRank 
References 
6
0.79
5
Authors
7