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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hataoka, N. Kokubo, H. Lee, A. Kawahara, T. Shikano, K. |
| Copyright Year | 2006 |
| Description | Author affiliation: Central Res. Lab., Hitachi Ltd., Tokyo (Hataoka, N.; Kokubo, H.) |
| Abstract | In this paper, we report implemental results of an embedded version of Julius. We used T-Enginetrade as a hardware platform which has a SuperH microprocessor. The Julius is free and open continuous speech recognition (CSR) software running on personal computers (PCs) which have huge CPU power and storage memory size. The technical problems to make Julius for embedded version are computing/process and memory reductions of Julius software. We realized 2.23 of RTF (real time factor) of embedded speech recognition processing on the condition of 5000-word vocabulary without any recognition accuracy degradation |
| Starting Page | 45 |
| Ending Page | 50 |
| File Size | 5253164 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780397320 |
| DOI | 10.1109/ISPACS.2006.364832 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-12 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech recognition Hardware Microprocessors Microcomputers Personal communication networks Central Processing Unit Embedded computing Embedded software Vocabulary Degradation HMMs (Hidden Markov Models) Automatic Speech Recognition (ASR) Continuous Speech Recognition (CSR) Julius: Free CSR Software Embedded Julius Hardware Platform: T-Engine SuperH Microprocessor GMS (Gaussian Mixture Selection) |
| Content Type | Text |
| Resource Type | Article |
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