Mr. David RISINAMHODZI

Northwest University – South Africa

david.risinamhodzi@nwu.ac.za

davidrisinamodzi@yahoo.com

 

Short Profile

I’m A MSc student with the North-west University, researching on the comparison of distributed computing infrastructures such as Computational Grids against High-end Multicore servers in academic environments. My research focus and interests are in the fields of Speech Technology, Computer Networks, Artificial Intelligence and Software Engineering.

I am employed as a Junior Lecturer in IT & Computer Science in the School of IT at the North-west University (Vaal Triangle Campus).

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Use Case Description

Reproducible Automatic Speech Recognition System
The use case aims at developing a reproducible Automatic Speech Recognition (ASR) system. The use-case proposed is specific for the rich community of Human Language Technologies users in South Africa and the system will be built as a Science Gateway and the data it uses will be stored on an Open Access Repository (from Northwest University.

e-Infrastructure Services Exploited

For storing and retrieving its data, the ASR Science Gateway will use a clone of the the Sci-GaIA Open Access Repository (OAR). DataCite-issued Digital Object Identifiers (DOIs) will automatically be assigned by the OAR to each ASR record to improve its findability, discoverability and reusability.

For analysing use case’s data, the ASR is connected to a FutureGateway API Server – developed in the context of the INDIGO-DataCloud project – which seamlessly executes jobs on local, Grid and Cloud resources belonging to the Africa & Arabia Regional Operation Centre.

Current Implementation of the Use Case