• Automatic speech recognition with deep neural networks for impaired speech 

      España-i-Bonet, Cristina; Rodríguez Fonollosa, José Adrián (Springer, 2016)
      Text en actes de congrés
      Accés obert
      Automatic Speech Recognition has reached almost human performance in some controlled scenarios. However, recognition of impaired speech is a difficult task for two main reasons: data is (i) scarce and (ii) heterogeneous. ...
    • Efficient transformers for direct speech translation 

      Alastruey Lasheras, Belén (Universitat Politècnica de Catalunya, 2021-07)
      Treball Final de Grau
      Accés obert
      In this thesis, we propose a new approach for Speech-to-Text translation, where thanks to an efficient Transformer we can work with a spectrogram without having to use convolutional layers before the Transformer. This ...
    • Recurrent Neural Networks for Speaker Dependent Language Modeling 

      Bofill Pagès, David (Universitat Politècnica de Catalunya, 2014-08)
      Projecte/Treball Final de Carrera
      Accés obert
      [ANGLÈS] This work focuses on building and testing statistical language models based on recurrent neural networks. Although both speaker independent and dependent language models will be discussed and compared, this thesis ...