Matches in SemOpenAlex for { <https://semopenalex.org/work/W2757609021> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2757609021 abstract "Due to high accuracy, inherent redundancy, and embarrassingly parallel nature, the neural networks are fast becoming mainstream machine learning algorithms. However, these advantages come at the cost of high memory and processing requirements (that can be met by either GPUs, FPGAs or ASICs). For embedded systems, the requirements are particularly challenging because of stiff power and timing budgets. Due to the availability of efficient mapping tools, GPUs are an appealing platforms to implement the neural networks. While, there is significant work that implements the image recognition (in particular Convolutional Neural Networks) on GPUs, only a few works deal with efficiently implement of speech recognition on GPUs. The work that does focus on implementing speech recognition does not address embedded systems. To tackle this issue, this paper presents SPEED (Open-source framework to accelerate speech recognition on embedded GPUs).We have used Eesen speech recognition framework because it is considered as the most accurate speech recognition technique. Experimental results reveal that the proposed techniques offer 2.6X speedup compared to state of the art." @default.
- W2757609021 created "2017-10-06" @default.
- W2757609021 creator A5026355063 @default.
- W2757609021 creator A5033338750 @default.
- W2757609021 creator A5083384686 @default.
- W2757609021 date "2017-08-01" @default.
- W2757609021 modified "2023-10-03" @default.
- W2757609021 title "SPEED: Open-Source Framework to Accelerate Speech Recognition on Embedded GPUs" @default.
- W2757609021 cites W2013317495 @default.
- W2757609021 cites W2016881569 @default.
- W2757609021 cites W2062826588 @default.
- W2757609021 cites W2084529981 @default.
- W2757609021 cites W2094756095 @default.
- W2757609021 cites W2127141656 @default.
- W2757609021 cites W2134673133 @default.
- W2757609021 cites W2143612262 @default.
- W2757609021 cites W2144175376 @default.
- W2757609021 cites W2906043559 @default.
- W2757609021 cites W2963211739 @default.
- W2757609021 doi "https://doi.org/10.1109/dsd.2017.89" @default.
- W2757609021 hasPublicationYear "2017" @default.
- W2757609021 type Work @default.
- W2757609021 sameAs 2757609021 @default.
- W2757609021 citedByCount "1" @default.
- W2757609021 countsByYear W27576090212022 @default.
- W2757609021 crossrefType "proceedings-article" @default.
- W2757609021 hasAuthorship W2757609021A5026355063 @default.
- W2757609021 hasAuthorship W2757609021A5033338750 @default.
- W2757609021 hasAuthorship W2757609021A5083384686 @default.
- W2757609021 hasConcept C111919701 @default.
- W2757609021 hasConcept C118524514 @default.
- W2757609021 hasConcept C173608175 @default.
- W2757609021 hasConcept C2777904410 @default.
- W2757609021 hasConcept C28490314 @default.
- W2757609021 hasConcept C3018397939 @default.
- W2757609021 hasConcept C41008148 @default.
- W2757609021 hasConceptScore W2757609021C111919701 @default.
- W2757609021 hasConceptScore W2757609021C118524514 @default.
- W2757609021 hasConceptScore W2757609021C173608175 @default.
- W2757609021 hasConceptScore W2757609021C2777904410 @default.
- W2757609021 hasConceptScore W2757609021C28490314 @default.
- W2757609021 hasConceptScore W2757609021C3018397939 @default.
- W2757609021 hasConceptScore W2757609021C41008148 @default.
- W2757609021 hasLocation W27576090211 @default.
- W2757609021 hasOpenAccess W2757609021 @default.
- W2757609021 hasPrimaryLocation W27576090211 @default.
- W2757609021 hasRelatedWork W1491899005 @default.
- W2757609021 hasRelatedWork W1604898313 @default.
- W2757609021 hasRelatedWork W1975269480 @default.
- W2757609021 hasRelatedWork W2034384303 @default.
- W2757609021 hasRelatedWork W2117014006 @default.
- W2757609021 hasRelatedWork W2140418760 @default.
- W2757609021 hasRelatedWork W2164287667 @default.
- W2757609021 hasRelatedWork W2372170743 @default.
- W2757609021 hasRelatedWork W2790489068 @default.
- W2757609021 hasRelatedWork W4233815414 @default.
- W2757609021 isParatext "false" @default.
- W2757609021 isRetracted "false" @default.
- W2757609021 magId "2757609021" @default.
- W2757609021 workType "article" @default.