A Data-Driven SoC System for Embedded Continuous Speech Recognition
نویسندگان
چکیده
In this paper we present a SoC system able to perform Small-Vocabulary Automatic Speech Recognition (SVASR) based on Hidden-Markov Model (HMM) recognition techniques. Through in-depth analysis of the data-flow within the SPHINX 3 software [1], we create an efficient single-chip architecture tailored to the specific computational needs of a the system. By creating a tokenpassing scheme to control the work-load within the system the on-chip resources as well as the complexity of the global control required can be minimized, while the bandwidth usage can be maximized, creating a stream-lined FPGA architecture able to evaluate small vocabularies in real time.
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