Network and Embedded Applications of Automatic Speech Recognition

ASR (Automatic Speech Recognition) is one of key technologies in the upcoming Ubiquitous Computing and Ambient Intelligence. In this paper, first, the surveys on processing devices such as microprocessors and memories, and on communication infrastructure, especially wireless communication infrastructure relating to ASR are reported. Second, the embedded version of CSR (Continuous Speech Recognition) software for the mobile environmental use of ASR is reported. As the devices, RISC based microprocessors, semiconductor memories, and HDD are summarized. For the communication infrastructure, mobile communications and wireless LANs are described. Finally, implementation results of the free CSR software called Julius on the T-engineTM consisting of an SH-4A microprocessor are reported.

[1]  Kiyohiro Shikano,et al.  Real-Time Continuous Speech Recognition System on SH-4A Microprocessor , 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

[2]  N. Hataoka,et al.  Robust speech dialog interface for car telematics service , 2004, First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004..

[4]  Kiyohiro Shikano,et al.  Embedded Julius: Continuous Speech Recognition Software for Microprocessor , 2006, 2006 IEEE Workshop on Multimedia Signal Processing.

[5]  Tatsuya Kawahara,et al.  An efficient two-pass search algorithm using word trellis index , 1998, ICSLP.

[6]  Kiyohiro Shikano,et al.  Gaussian mixture selection using context-independent HMM , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[7]  Mark J. F. Gales,et al.  Use of Gaussian selection in large vocabulary continuous speech recognition using HMMS , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.