Work-in-progress: Computation offloading of acoustic model for client-edge-based speech-recognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee Y.-M.[Lee Y.-M.] | - |
dc.contributor.author | Yang J.-S.[Yang J.-S.] | - |
dc.date.accessioned | 2021-07-28T22:25:24Z | - |
dc.date.available | 2021-07-28T22:25:24Z | - |
dc.date.created | 2021-02-08 | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/11858 | - |
dc.description.abstract | Speech recognition technology combined with artificial intelligence represents a quantum leap more accurate than past pattern recognition methods. And server-based system support for scalability, virtualization and huge amounts of unlimited storage resources that greatly contributed to the improvement of the accuracy of its prediction. However, the implementation of server-oriented reforms led to enormous latency and connectivity problems. Therefore, we propose a novel client-edge speech recognition system to enhance latency by using what we call semi-offloading technology. This proposal is promising big performance gains by offloading computing power-dependent tasks to edge nodes and processing throughput-dependent tasks by a client. The merit of semi-offloading as well as a division of workload allows for parallelism and re-ordering among the process. The experimental results show that, 23%∼62% improvement in response time. © 2019 Association for Computing Machinery. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.subject | Edge computing | - |
dc.subject | Embedded systems | - |
dc.subject | Computation offloading | - |
dc.subject | Connectivity problems | - |
dc.subject | Pattern recognition method | - |
dc.subject | Semi-Offloading | - |
dc.subject | Speech recognition systems | - |
dc.subject | Speech recognition technology | - |
dc.subject | Storage resources | - |
dc.subject | Work in progress | - |
dc.subject | Speech recognition | - |
dc.title | Work-in-progress: Computation offloading of acoustic model for client-edge-based speech-recognition | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee Y.-M.[Lee Y.-M.] | - |
dc.contributor.affiliatedAuthor | Yang J.-S.[Yang J.-S.] | - |
dc.identifier.doi | 10.1145/3349569.3351534 | - |
dc.identifier.scopusid | 2-s2.0-85077318966 | - |
dc.identifier.wosid | 000526049300001 | - |
dc.identifier.bibliographicCitation | Proceedings of the International Conference on Compliers, Architectures and Synthesis for Embedded Systems Companion, CASES 2019 | - |
dc.relation.isPartOf | Proceedings of the International Conference on Compliers, Architectures and Synthesis for Embedded Systems Companion, CASES 2019 | - |
dc.citation.title | Proceedings of the International Conference on Compliers, Architectures and Synthesis for Embedded Systems Companion, CASES 2019 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 3 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | Edge computing | - |
dc.subject.keywordPlus | Embedded systems | - |
dc.subject.keywordPlus | Computation offloading | - |
dc.subject.keywordPlus | Connectivity problems | - |
dc.subject.keywordPlus | Pattern recognition method | - |
dc.subject.keywordPlus | Semi-Offloading | - |
dc.subject.keywordPlus | Speech recognition systems | - |
dc.subject.keywordPlus | Speech recognition technology | - |
dc.subject.keywordPlus | Storage resources | - |
dc.subject.keywordPlus | Work in progress | - |
dc.subject.keywordPlus | Speech recognition | - |
dc.subject.keywordAuthor | Edge Computing | - |
dc.subject.keywordAuthor | Semi-Offloading | - |
dc.subject.keywordAuthor | Speech-Recognition | - |
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