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There are many approaches and algorithms that can be used to recognize and synthesize the hands gesture. Each approach has its own advantages and characteristics. This paper describes the usage of hidden Markov models (HMM) and principal component analysis (PCA) in recognizing hands gesture by two different researches. The limitations of each techniques and comparisons between each other will be detailed...
Recent development on classify speaker data from a group of speaker is still insufficient to provide a satisfied result in achieving high performance pattern classification engine. There are two main difficulties in this field: how to maintain accuracy rate under incremental amounts of training data and how to reduce the time processing in the case embedded systems need to consider about efficient...
Speaker Recognition (SP) is a topic of great significance in areas of intelligent and security. In Biometric SP using automated method of verifying or recognizing the identity of the person. SP can divide into two: speaker identification and verification. In this paper we focus on speaker verification in Malay language. Speaker Verification (SV) is the task of automatically accepting or rejecting...
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