FPGA architecture of HMM-based decoder module in speech recognizer

This paper presents the reconfigurable architecture and implementation of HMM-based decoder module in speech recognizer on FPGA. The architecture is done with different parameters of speech recognition system that could be easily reconfigurable. The design and implementation on FPGA have been verified with utterances of 800 test speeches. The implementation results, the recognition accuracy results of up to 98% are also presented.

[1]  Jer Min Jou,et al.  An efficient VLSI architecture for HMM-based speech recognition , 2001, ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483).

[2]  Steven F. Quigley,et al.  Performing speech recognition on multiple parallel files using continuous hidden Markov models on an FPGA , 2002, 2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings..

[3]  Shintaro Izumi,et al.  A 40 nm 144 mW VLSI Processor for Real-Time 60-kWord Continuous Speech Recognition , 2012, IEEE Trans. Circuits Syst. I Regul. Pap..

[4]  Rob A. Rutenbar,et al.  A 1000-word vocabulary, speaker-independent, continuous live-mode speech recognizer implemented in a single FPGA , 2007, FPGA '07.

[5]  Magne Hallstein Johnsen,et al.  A VLSI implementation of PDF computations in HMM based speech recognition , 1996, Proceedings of Digital Processing Applications (TENCON '96).

[6]  Oliver Chiu-sing Choy,et al.  A speech recognizer with selectable model parameters , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[7]  Wonyong Sung,et al.  A Real-Time FPGA-Based 20 000-Word Speech Recognizer With Optimized DRAM Access , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[8]  Masahiko Yoshimoto,et al.  A low memory bandwidth Gaussian mixture model (GMM) processor for 20,000-word real-time speech recognition FPGA system , 2008, 2008 International Conference on Field-Programmable Technology.

[9]  Rob A. Rutenbar,et al.  Profiling large-vocabulary continuous speech recognition on embedded devices: a hardware resource sensitivity analysis , 2009, INTERSPEECH.

[10]  Steven F. Quigley,et al.  Speech Recognition on an FPGA Using Discrete and Continuous Hidden Markov Models , 2002, FPL.