Su, Jing and de Prado, Miguel and Dahyot, Rozenn and Saeed, Rabia (2019) AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools. Emerging Deep Learning Accelerators (EDLA) Workshop at HiPEAC 2019. pp. 1-9.

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Abstract

Next generation of embedded Information and Communication Technology (ICT) systems are interconnected collaborative intelligent systems able to perform autonomous tasks. Training and deployment of such systems on Edge devices however require a fine-grained integration of data and tools to achieve high accuracy and overcome functional and non-functional requirements. In this work, we present a modular AI pipeline as an integrating framework to bring data, algorithms and deployment tools together. By these means, we are able to interconnect the different entities or stages of particular systems and provide an end-to-end development of AI products. We demonstrate the effectiveness of the AI pipeline by solving an Automatic Speech Recognition challenge and we show that all the steps leading to an end-to-end development for Key-word Spotting tasks: importing, partitioning and pre-processing of speech data, training of different neural network architectures and their deployment on heterogeneous embedded platforms.

Item Type:	Article
Keywords:	AI pipeline; Key-word Spotting; fragmentation;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	15157
Depositing User:	Rozenn Dahyot
Date Deposited:	20 Dec 2021 12:53
Journal or Publication Title:	Emerging Deep Learning Accelerators (EDLA) Workshop at HiPEAC 2019
Publisher:	Emerging Deep Learning Accelerators (EDLA) Workshop at HiPEAC 2019
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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