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If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks.

, , , , , , , , and . Pattern Recognit. Lett., (2020)

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Voice Conversion With Just Nearest Neighbors., , and . CoRR, (2023)If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks., , , , , , , , and . Pattern Recognit. Lett., (2020)Revisiting speech segmentation and lexicon learning with better features., and . CoRR, (2024)A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion., , , , , and . ICASSP, page 6562-6566. IEEE, (2022)An Intermediate Value Theorem for the Decycling Numbers of Toeplitz Graphs., , and . Graphs Comb., 31 (6): 2037-2042 (2015)Visually grounded few-shot word acquisition with fewer shots., , and . CoRR, (2023)A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion., , , , , and . CoRR, (2021)Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis., , , and . INTERSPEECH, page 4591-4595. ISCA, (2022)Rhythm Modeling for Voice Conversion., , and . CoRR, (2023)Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks., and . CoRR, (2020)