Fundamentals of speech recognition
Fundamentals of speech recognition
Error Analysis of the Kmetz/Maenner Algorithm
Journal of VLSI Signal Processing Systems
Symbian OS C++ for Mobile Phones
Symbian OS C++ for Mobile Phones
Real-time speaker identification and verification
IEEE Transactions on Audio, Speech, and Language Processing
Speaker Recognition Using Temporal Decomposition of LSF for Mobile Environment
ICESS '07 Proceedings of the 3rd international conference on Embedded Software and Systems
Wishbone: profile-based partitioning for sensornet applications
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
An overview of text-independent speaker recognition: From features to supervectors
Speech Communication
Comparison of clustering methods: A case study of text-independent speaker modeling
Pattern Recognition Letters
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A fixed point implementation of speaker recognition based on MFCC signal processing is considered. We analyze the numerical error of the MFCC and its effect on the recognition accuracy. Techniques to reduce the information loss in a converted fixed point implementation are introduced. We increase the signal processing accuracy by adjusting the ratio of presentation accuracy of the operators and the signal. The signal processing error is found out to be more important to the speaker recognition accuracy than the error in the classification algorithm. The results are verified by applying the alternative technique to speech data. We also discuss the specific programming requirements set up by the Symbian and Series 60.