Building An Automatic Speech Recognition System for Home Automation
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
This paper presents a study on automatic speech recognition (ASR) systems applied to home automation. So a detailed study of the architecture of speech recognition systems was carried out. The objective is to select a speech recognition software that must operate in remote speech conditions and in a noisy environment. The proposed system is using an ASR toolkit called Kaldi, which must communicate as an open platform communication (OPC) client developed in C++, with any home automation system. The latter behaves like an OPC server.
Authors and Affiliations
Mohamed Aboulkhir, Samira Khoulji, Reda Jourani, ML Kerkeb
Keywords
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- EP ID EP308694
- DOI 10.14738/tmlai.54.3190
- Views 103
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