Abstract
A parallel multitransputer architecture that applies two-dimensional low-level image processing techniques to capture acoustic patterns in the speech spectrogram is presented. The system consists of a two-dimensional quad-connected mesh interconnection network of transputers. It is capable of executing both linear and non-linear image processing functions. Example functions include linear and non-linear convolutional filtering, edge detection and simulated annealing. Near-linear speed-up performances with increasing numbers of processors have been observed for all image processing functions, the interprocessor communication time being the dominating limiting factor.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.