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Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets.

, , and . J. Sel. Topics Signal Processing, 13 (2): 254-264 (2019)

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Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs., , , and . IEEE Signal Process. Mag., 30 (4): 75-86 (2013)Redundant Wavelets on Graphs and High Dimensional Data Clouds, , and . CoRR, (2011)Kernel Method for Voice Activity Detection in the Presence of Transients., , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (12): 2313-2326 (2016)Audio-Visual Voice Activity Detection Using Diffusion Maps., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (4): 732-745 (2015)Multimodal Kernel Method for Activity Detection of Sound Sources., , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (6): 1322-1334 (2017)Dominant speaker identification for multipoint videoconferencing., and . Comput. Speech Lang., 27 (4): 895-910 (2013)Joint noise reduction and acoustic echo cancellation using the transfer-function generalized sidelobe canceller., , and . Speech Commun., 49 (7-8): 623-635 (2007)Performance analysis of dual source transfer-function generalized sidelobe canceller., , and . Speech Commun., 49 (7-8): 602-622 (2007)Translation-invariant denoising using the minimum description length criterion., , and . Signal Process., 75 (3): 201-223 (1999)Anomaly detection based on an iterative local statistics approach., and . Signal Process., 84 (7): 1225-1229 (2004)