|
Web
Education
Viewing 1-4 of 4 total results
Real‐time implementation and performance evaluation of ...
methods considered. A noise robust voice activity detection system based on an unsupervised method was proposed by Ali and Talha [18], in which the long-term features were computed using the Katz algorithm of fractal dimension. The signal-to-noise ratio (SNR) was calculated at different levels...
 VOICE ACTIVITY DETECTION WITH GENERALIZED GAMMA DISTRIBUTION
modelling for voice activity detection. Using a computationally inexpensive maximum likelihood approach, we employ the Bayesian Information Criterion for identifying the phoneme boundaries in noisy speech. 1. INTRODUCTION A common problem in many areas of speech processing is the identification of the presence or absence of a voice...
Voice Activity Detection Using Generalized Gamma ...
In this work, we model speech samples with a two-sided generalized Gamma distribution and evaluate its efficiency for voice activity detection. Using a computationally inexpensive maximum likelihood approach, we employ the Bayesian Information Criterion for identifying the phoneme boundaries in noisy speech.
Real Time QRS Detection Based on M-ary Likelihood Ratio ...
This paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals. The method is based on a M-ary generalized likelihood ratio test (LRT) defined over a multiple observation window in the Fourier domain.The motivations for proposing another detection algorithm based on maximum a posteriori (MAP) estimation are found in the high complexity of the signal model ......
|
