PMID- 25478588
OWN - NLM
STAT- MEDLINE
DCOM- 20150609
LR  - 20181113
IS  - 1537-744X (Electronic)
IS  - 2356-6140 (Print)
IS  - 1537-744X (Linking)
VI  - 2014
DP  - 2014
TI  - Enhancing speech recognition using improved particle swarm optimization based 
      hidden Markov model.
PG  - 270576
LID - 10.1155/2014/270576 [doi]
LID - 270576
AB  - Enhancing speech recognition is the primary intention of this work. In this paper 
      a novel speech recognition method based on vector quantization and improved 
      particle swarm optimization (IPSO) is suggested. The suggested methodology 
      contains four stages, namely, (i) denoising, (ii) feature mining (iii), vector 
      quantization, and (iv) IPSO based hidden Markov model (HMM) technique (IP-HMM). 
      At first, the speech signals are denoised using median filter. Next, 
      characteristics such as peak, pitch spectrum, Mel frequency Cepstral coefficients 
      (MFCC), mean, standard deviation, and minimum and maximum of the signal are 
      extorted from the denoised signal. Following that, to accomplish the training 
      process, the extracted characteristics are given to genetic algorithm based 
      codebook generation in vector quantization. The initial populations are created 
      by selecting random code vectors from the training set for the codebooks for the 
      genetic algorithm process and IP-HMM helps in doing the recognition. At this 
      point the creativeness will be done in terms of one of the genetic operation 
      crossovers. The proposed speech recognition technique offers 97.14% accuracy.
FAU - Selvaraj, Lokesh
AU  - Selvaraj L
AD  - Department of Computer Science & Engineering, Hindusthan Institute of Technology, 
      Coimbatore, Tamil Nadu 641 032, India.
FAU - Ganesan, Balakrishnan
AU  - Ganesan B
AD  - Indra Ganesan College of Engineering, Trichy, Tamil Nadu 620 012, India.
LA  - eng
PT  - Journal Article
DEP - 20141117
PL  - United States
TA  - ScientificWorldJournal
JT  - TheScientificWorldJournal
JID - 101131163
SB  - IM
MH  - Algorithms
MH  - Humans
MH  - *Markov Chains
MH  - *Speech
MH  - *Speech Recognition Software
PMC - PMC4248426
EDAT- 2014/12/06 06:00
MHDA- 2015/06/10 06:00
PMCR- 2014/11/17
CRDT- 2014/12/06 06:00
PHST- 2014/04/25 00:00 [received]
PHST- 2014/09/23 00:00 [revised]
PHST- 2014/10/17 00:00 [accepted]
PHST- 2014/12/06 06:00 [entrez]
PHST- 2014/12/06 06:00 [pubmed]
PHST- 2015/06/10 06:00 [medline]
PHST- 2014/11/17 00:00 [pmc-release]
AID - 10.1155/2014/270576 [doi]
PST - ppublish
SO  - ScientificWorldJournal. 2014;2014:270576. doi: 10.1155/2014/270576. Epub 2014 Nov 
      17.