|
Web
Education
Viewing 1-8 of 8 total results
A spectro-temporal algorithm for pitch frequency ...
A Gaussian Clustering Based Voice Activity Detector for Noisy Environments Using Spectro-Temporal Domain. ... a voice activity detector (VAD) for variable rate speech coding is decomposed into two ...
Voice Activity Detection in Noisy Environments Based on ...
A new voice activity detector for noisy environments is proposed. In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain. However, since the frame energy ...
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
work, we are interested in offline multi-pass voice activity detection (VAD) algorithms suitable for speech communication applications applications such as automatic transcription and speech segmentation. Our goal is to implement and evaluate a robust algorithm for noisy environments, various classes of noise, and short frames....
Voice Activity Detection in Noisy Environments Based on ...
A new voice activity detector for noisy environments is proposed. In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain. However, since the frame energy feature is unstable in noisy environments, it is difficult to accurately find the endpoint of speech....
A Hierarchical Framework Approach for Voice Activity ...
The well-known noise reduction algorithms, such as Wiener filter (WF) algorithms, are widely used for robust voice activity detection which is the critical step for speech recognition. Currently, most of the WF-based algorithms are iterative since the estimation of power spectrum of the clean speech is required in the formulation.
An Improved Speech Segmentation and Clustering Algorithm ...
This paper studies the segmentation and clustering of speaker speech. In order to improve the accuracy of speech endpoint detection, the traditional double-threshold short-time average zero-crossing rate is replaced by a better spectrum centroid feature, and the local maxima of the statistical feature sequence histogram are used to select the threshold, and a new speech endpoint detection ...
Elias Nemer - Los Angeles Metropolitan Area | Professional ...
A dual-microphone subband-based Voice Activity Detector using higher-order cumulants ... basis for speech detection. Their immunity to Gaussian noise makes them particularly useful in algorithms ...
|
