Mobile Cloud Support for Semantic-Enriched Speech Recognition in Social Care

Abstract

Nowadays, most users carry high computing power mobile devices where speech recognition is certainly one of the main technologies available in every modern smartphone, although battery draining and application performance (resource shortage) have a big impact on the experienced quality. Shifting applications and services to the cloud may help to improve mobile user satisfaction as demonstrated by several ongoing efforts in the mobile cloud area. However, the quality of speech recognition is still not sufficient in many complex cases to replace the common hand written text, especially when prompt reaction to short-term provisioning requests is required. To address the new scenario, this paper proposes a mobile cloud infrastructure to support the extraction of semantics information from speech recognition in the Social Care domain, where carers have to speak about their patients conditions in order to have reliable notes used afterward to plan the best support. We present not only an architecture proposal, but also a real prototype that we have deployed and thoroughly assessed with different queries, accents, and in presence of load peaks, in our experimental mobile cloud Platform as a Service (PaaS) testbed based on Cloud Foundry.

Leveraging cloud computing for the semantic web: review and trends

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“…The authors are generally of the opinion that cloud computing provides appropriate solutions for the enhancement of the semantic web as it applies to different industry sectors. There are suggestions that it can play an instrumental role in enhancing the sematic web because of its numerous characteristics that offer cloud resources on demand to clients and thereby support different business models, with a cloud computing architecture that enables developers to efficiently build and deploy distributed systems [8]; [9]; [10]. This implies that semantic web applications can be developed for public distribution through a cloud platform.…”

An Overview of Mobile Cloud Computing for Pervasive Healthcare

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