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A clustering based feature selection method in spectro ...
In this paper, a new clustering based method is proposed for secondary feature selection/extraction in the spectro-temporal domain. In the proposed representation, Gaussian mixture models (GMM) and weighted K-means (WKM) clustering techniques are applied to spectro-temporal domain to reduce the dimensions of the features space. The elements of ......
Frame-wise model re-estimation method based on Gaussian ...
This paper proposes a robust voice activity detection (VAD) method that operates in the presence of noise. For noise robust VAD, we have already proposed statistical models and a switching Kalman filter (SKF)-based technique. In this paper, we focus on a model re-estimation method using Gaussian pruning with weight normalization....
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...
Performance Evaluation of Silence-Feature Normalization ...
Choi, G. K., & Kim, S. H. (2009). Voice activity detection method using psycho-acoustic model based on speech energy maximization in noisy environments. The Journal of the Acoustical Society of Korea, 28(5), 447–453. Google Scholar
 Speech Activity Detection on YouTube Using Deep Neural ...
Speech activity detection (SAD) is an important first step in speech processing. Commonly used methods (e.g., frame-level classification using gaussian mixture models (GMMs)) work well under stationary noise conditions, but do not generalize well to domains such as YouTube, where videos may exhibit a diverse range of environmental conditions....
VOICE ACTIVITY DETECTION SYSTEMS AND METHODS - Synaptics ...
Then, the noisy speech sequences for training are created similar to the work in T. Drugman, Y. Stylianou, Y. Kida, and M. Akamine, “Voice activity detection: Merging source and filter-based information,” IEEE Signal Processing Letters, vol. 23, no. 2, pp. 252-256, 2016. In some embodiments, approximately 30% of simulated noisy sequences ......
Peyman Tehrani - Research Assistant - UC Irvine | LinkedIn
4- Implementation of a image segmentation method using Gaussian mixture model. Auto-correlation based voice activity detection ... between a speech mixed with background noise and a background ...
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