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Title: Robust Embedded Version of Continuous Speech Recognition Software on Microprocessor
Authors: Nobuo Hataoka
Hiroaki Kokubo
Yasunari Obuchi
Akinobu Lee
Tatsuya Kawahara
Kiyohiro Shikano
Keywords: Automatic Speech Recognition (ASR)
Continuous Speech Recognition (CSR)
Microphone Array
Feature Normalization
Free CSR Software
Embedded Julius
Hardware Platform
SuperH Microprocessor
GMS (Gaussian Mixture Selection)
HMMs (Hidden Markov Models)
HMIs (Human Machine Interfaces)
Issue Date: Sep-2006
Abstract: In this paper, we describe new mobile consumer services based on speech technologies to support a new digital/mobile era of ubiquitous communication. First, we report evaluation results of recognition modules for the noise robustness such as speech segmentation, microphone array techniques, and feature normalization modules. We used free Continuous Speech Recognition (CSR) software Julius/Julian as a speech decoder. Second, we have developed an embedded version of the Julius continuous speech recognition software on general-purpose microprocessors. We used T-Engine? as a hardware platform. The technical problems to make Julius for embedded one are computing/process and memory reductions of Julius. We could realize about 2.00 of RTF (Real Time Factor) of speech recognition processing on the condition of 5000-word vocabulary.
Description: MobileHCI2006: 8th International Conference on Human Computer Interaction with Mobile Devices and Services , September 12-15, 2006, Espoo, Finland.
Text Version: Publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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