Recent Submissions

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    A Differentiable Generative Adversarial Network for Open Domain Dialogue 

    López Zorrilla, Asier; De Velasco Vázquez, Mikel; Torres Barañano, María Inés (2019-04)
    This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative Adversarial Networks with gradient-based optimization methods. We avoid the non-differentiability related ...
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    RESTORE Project: REpair, STOrage and REhabilitation of speech 

    Hernaez Rioja, Inmmaculada Concepción; Navas Cordón, Eva; Municio Martín, José Antonio; Gómez Suárez, Javier (International Speech Communication Association, 2018-11-23)
    RESTORE is a project aimed to improve the quality of commu-nication for people with difficulties producing speech, provid-ing them with tools and alternative communication services. Atthe same time, progress will be made ...
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    LSTM based voice conversion for laryngectomees 

    Serrano, Luis; Tavarez Arriba, David; Sarasola, Xabier; Raman, Sneha; Saratxaga Couceiro, Ibon; Navas Cordón, Eva; Hernaez Rioja, Inmmaculada Concepción (International Speech Communication Association, 218-11-23)
    This paper describes a voice conversion system designed withthe aim of improving the intelligibility and pleasantness of oe-sophageal voices. Two different systems have been built, oneto transform the spectral magnitude ...
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    Listening to Laryngectomees: A study of Intelligibility and Self-reportedListening Effort of Spanish Oesophageal Speech 

    Raman, Sneha; Hernaez Rioja, Inmmaculada Concepción; Navas Cordón, Eva; Serrano, Luis (International Speech Communication Association, 2018-11-23)
    Oesophageal speakers face a multitude of challenges, such asdifficulty in basic everyday communication and inability to in-teract with digital voice assistants. We aim to quantify the diffi-culty involved in understanding ...

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