Enviaments recents

  • End-to-end speech translation with the transformer 

    Cross Vila, Laura; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta (Antonio Bonafonte, Jordi Luque and Francesc Alías Pujol, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Speech Translation has been traditionally addressed with the concatenation of two tasks: Speech Recognition and Machine Translation. This approach has the main drawback that errors are concatenated. Recently, neural ...
  • The TALP-UPC machine translation systems for WMT18 news translation shared task 

    Casas, Noe; Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this article we describe the TALP-UPC research group participation in the WMT18 news shared translation task for FinnishEnglish and Estonian-English within the multi-lingual subtrack. All of our primary submissions ...
  • Neural machine translation with the transformer and multi-source romance languages for the biomedical WMT 2018 task 

    Tubay, Brian; Ruiz Costa-Jussà, Marta (2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
  • A neural approach to language variety translation 

    Ruiz Costa-Jussà, Marta; Zampieri, Marcos; Pal, Santanu (Association for Computational Linguistics, 2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this paper we present the first neural-based machine translation system trained to translate between standard national varieties of the same language. We take the pair Brazilian - European Portuguese as an example and ...
  • From feature to paradigm: Deep learning in machine translation (Extended Abstract) 

    Ruiz Costa-Jussà, Marta (2018)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    n the last years, deep learning algorithms have highly revolutionized several areas including speech, image and natural language processing. The specific field of Machine Translation (MT) has not remained invariant. ...
  • Synthesis using speaker adaptation from speech recognition DB 

    Oller Moreno, Sergio; Moreno Bilbao, M. Asunción; Bonafonte Cávez, Antonio (Universidad de Vigo, 2010)
    Comunicació de congrés
    Accés obert
    This paper deals with the creation of multiple voices from a Hidden Markov Model based speech synthesis system (HTS). More than 150 Catalan synthetic voices were built using Hidden Markov Models (HMM) and speaker adaptation ...
  • Visualizing punctuation restoration in speech transcripts with prosograph 

    Oktem, A.; Farrús, M.; Bonafonte Cávez, Antonio (International Speech Communication Association (ISCA), 2018)
    Text en actes de congrés
    Accés obert
    We have developed a neural architecture that tests the effect of lexical, morphosyntactic and prosodic features in restoring punctuation in speech transcriptions. Having outperformed a baseline model in terms of precision ...
  • Expressive speech synthesis using sentiment embeddings 

    Jauk, Igor; Lorenzo Trueba, J.; Yamagishi, J.; Bonafonte Cávez, Antonio (International Speech Communication Association (ISCA), 2018)
    Text en actes de congrés
    Accés obert
    In this paper we present a DNN based speech synthesis system trained on an audiobook including sentiment features predicted by the Stanford sentiment parser. The baseline system uses DNN to predict acoustic parameters based ...
  • Spanish statistical parametric speech synthesis using a neural vocoder 

    Bonafonte Cávez, Antonio; Pascual de la Puente, Santiago; Dorca, G. (International Speech Communication Association (ISCA), 2018)
    Text en actes de congrés
    Accés obert
    During the 2000s decade, unit-selection based text-to-speech was the dominant commercial technology. Meanwhile, the TTS research community has made a big effort to push statistical-parametric speech synthesis to get similar ...
  • A conversation analysis framework using speech recognition and naïve bayes classification for construction process monitoring 

    Zhang, T.; Lee, Y. C.; Zhu, Y.; Hernando Pericás, Francisco Javier (American Society of Civil Engineers (ASCE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    At a dynamic construction site, conversations convey vital information including construction activities, operation status, and task performance. Even though because of information security, recording the entire conversations ...
  • Language and noise transfer in speech enhancement generative adversarial network 

    Pascual de la Puente, Santiago; Park, Maruchan; Serra, Joan; Bonafonte Cávez, Antonio; Ahn, Kang-hun (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Speech enhancement deep learning systems usually require large amounts of training data to operate in broad conditions or real applications. This makes the adaptability of those systems into new, low resource environments ...
  • A geometric proxy of economic uncertainty based on the disagreement in survey expectations 

    Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018)
    Comunicació de congrés
    Accés obert
    In this study we present a geometric approach to proxy economic uncertainty. We design a positional indicator of disagreement among survey-based agents' expectations about the state of the economy. Previous dispersion-based ...

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