Evaluation of Voice-driven Web Application Architecture

Niyizamwiyitira, Christine; Lundberg, Lars; Svahnberg, Mikael

doi:10.1109/sitis.2012.86

Cited by 1 publication

(1 citation statement)

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“…ASR and TTS are by nature computational demanding; hence when they are implemented on the handheld device the performance decreases due to limited computational capability of the latter. The architecture tradeoffs show that the architecture that implements ASR and TTS on the server side has better performance [2].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation and prediction of open source speech engine on multicore processors

Niyizamwiyitira

Lundberg

2013

Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems

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This paper quantifies the performance of the core part of voice driven web using free and open source speech engine; the speech engine which is very high computation demanding, it consists of Automatic Speech Recognition (ASR) and Text To Speech (TTS). Two open source programs, Sphinx-4 and FreeTTS-1.2.2 are used for ASR and TTS respectively. These two programs are executed on 2 different hardware multicore processors with 4 hyperthreaded cores, and 8 cores respectively. The response time with respect to the load variance and the number of cores is measured and predicted using a linear regression model. The results show that, the response time is linear with respect to the input length, this property can be used to directly predict the response for any input length. Moreover, though the response time and the speed up increases as the number of cores increases, the regression coefficients and number of threads reveal that ASR benefits from multicore. The speedup factor for ASR is 1.56 for 8 cores. However for FreeTTS, though being sequential the speed up from the program itself is insignificant, there is about 1. 43 speedup for 8 cores, that comes from the system's contribution. Our findings show that the generalization of the results for multicore processor does not apply to hyperthreading. This paper presents the investigation that is useful for educators, researchers, and applications' developer in voice based applications 'domain.

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Section: Introductionmentioning

confidence: 99%