Now showing items 1-4 of 95

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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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      Regularized Neural User Model for Goal-Oriented Spoken Dialogue Systems 

      Serras, Manex; Torres Barañano, María Inés; Del Pozo, Arantza (Springer, 2018-08-02)
      User simulation is widely used to generate artificial dialogues in order to train statistical spoken dialogue systems and perform evaluations. This paper presents a neural network approach for user modeling that exploits ...
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      Tracking the Expression of Annoyance in Call Centers 

      Irastorza, Jon; Torres Barañano, María Inés (Springer, 2018-08-26)
      Machine learning researchers have dealt with the identification of emo- tional cues from speech since it is research domain showing a large number of po- tential applications. Many acoustic parameters have been analyzed ...