Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
A Bio-inspired Architecture for Cognitive Audio
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Time-frequency representations in speech perception
Neurocomputing
Neuromorphic detection of vowel representation spaces
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
On computational working memory for speech analysis
NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
Bio-inspired phonologic processing: from vowel representation spaces to categories
NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
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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.