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On the use of agglomerative and spectral clustering in speaker diarization of meetings.

, and . Odyssey, page 130-137. ISCA, (2012)

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Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing., , and . CoRR, (2019)From time series to complex networks: The visibility graph, , , , and . Proceedings of the National Academy of Sciences, 105 (13): 4972-4975 (2008)Convolutional Speech Recognition with Pitch and Voice Quality Features., , and . CoRR, (2020)The use of long-term features for GMM- and i-vector-based speaker diarization systems., , and . EURASIP J. Audio Speech Music. Process., (2018)Efficient Keyword Spotting by Capturing Long-Range Interactions with Temporal Lambda Networks., , , , and . ASRU, page 146-153. IEEE, (2021)Seeing and Hearing Egocentric Actions: How Much Can We Learn?, , , , and . ICCV Workshops, page 4470-4480. IEEE, (2019)On the use of agglomerative and spectral clustering in speaker diarization of meetings., and . Odyssey, page 130-137. ISCA, (2012)Connectionist Transformation Network Features for Speaker Recognition., and . Odyssey, page 5. ISCA, (2010)Flexible Stand-Alone Keyword Recognition Application Using Dynamic Time Warping., , and . IberSPEECH, volume 8854 of Lecture Notes in Computer Science, page 158-167. Springer, (2014)Phoneme-Lattice to Phoneme-Sequence Matching Algorithm Based on Dynamic Programming., , , and . IberSPEECH, volume 8854 of Lecture Notes in Computer Science, page 99-108. Springer, (2014)