Applying Hidden Markov Model Baby Cry Signal Recognition Based on Cybernetic Theory

Research Area: Volume 5,Issue 3, May 2016 Year: 2016
Type of Publication: Article Keywords: Cybernetic Theory, Speech Signal, Signal Processing, STP, HMM
  • Dr. Saeed Ghaffari
  • Maryam Ashkaboosi
Journal: IJEIR Volume: 5
Number: 3 Pages: 243-247
Month: May
ISSN: 2277-5668
Baby cry signal recognition is branch of application of speech recognition. It studied translation of cry signal into text. Using tool to pick up a short time period from a signal, the tools can still assume the signal under processing to be stationary. It may constitute time invariant system and time invariant excitation when it is viewed in blocks of 10-30 msec. A processing is termed as Short Term Processing (STP). Then, using mel-frequency cepstral coefficients (MFCC) and bark frequency cepstral coefficients (BFCC) extract the feature of different known baby cry signal to make the codebook. Set up hidden markov model (HMM) to train estimate baby cry signal. Classify estimate baby cry achieve baby cry signal recognition.

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