Denoised Bottleneck Features From Deep Autoencoders for Telephone Conversation Analysis - researchr publication related

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Killian Janod, Mohamed Morchid, Richard Dufour, Georges Linarès, Renato de Mori. Denoised Bottleneck Features From Deep Autoencoders for Telephone Conversation Analysis. IEEE Transactions on Audio, Speech & Language Processing, 25(9):1809-1820, 2017. [doi]

The following publications are possibly variants of this publication:

Real to H-Space Autoencoders for Theme Identification in Telephone ConversationsTitouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès, Renato de Mori. taslp, 28:198-210, 2020. [doi]

Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone ConversationsTitouan Parcollet, Mohamed Morchid, Georges Linarès. interspeech 2017: 3325-3328 [doi]

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