[PDF][PDF] Review of parameter estimation techniques for time-varying autoregressive models of biomedical signals
Biomedical signals are non-stationary and a research topic of practical interest as the signal
has time varying statistics. The problem of time varying is usually circumvented by assuming …
has time varying statistics. The problem of time varying is usually circumvented by assuming …
An improved particle swarm optimization algorithm applied to benchmark functions
According to the literature of Particle Swarm Optimization (PSO), there are problems of
getting stuck at local minima and premature convergence with this algorithm. A new …
getting stuck at local minima and premature convergence with this algorithm. A new …
The Application of Extreme Learning Machine and Support Vector Machine in Speech Endpoint Detection
Z Feng, J Feng, F Dai - International Journal of Control and Automation, 2016 - earticle.net
In this paper, a general voice activity detection (VAD) method based on pattern recognition
is proposed, and a specific algorithm of endpoint detection is researched. In this method, the …
is proposed, and a specific algorithm of endpoint detection is researched. In this method, the …
Speech Recognition for Finite Passwords in Smart Home
J Yang, CY Gao, M Zhang - 2016 International Conference on …, 2016 - atlantis-press.com
Abstract Dynamic Time Warping (DTW) is the most widely used algorithm for finite
passwords or isolated words recognition system. However, the recognition rate using DTW …
passwords or isolated words recognition system. However, the recognition rate using DTW …