Browsing by Author "Farrús, Mireia"

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  • Compilation of Corpora for the study of the Information Structure-Prosody interface
    Domínguez Bajo, Mónica; Burga Díaz, Alicia; Farrús, Mireia; Wanner, Leo (ELRA (European Language Resources Association), 2018)
    Theoretical studies on the Information Structure–prosody interface argue that the content packaged in terms of theme and rheme correlates with the intonation of the corresponding sentence. However, there are few empirical ...
  • Corpora compilation for prosody-informed speech processing
    Öktem, Alp; Farrús, Mireia; Bonafonte Cávez, Antonio (Springer, 2021)
    Research on speech technologies necessitates spoken data, which is usually obtained through read recorded speech, and specifically adapted to the research needs. When the aim is to deal with the prosody involved in speech, ...
  • Data augmentation for low-resource Quechua ASR improvement
    Zevallos, Rodolfo; Bel Rafecas, Núria; Cámbara Ruiz, Guillermo; Farrús, Mireia; Luque, Jordi (International Speech Communication Association (ISCA), 2022)
    Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy systems with word error rates below 5% for ...
  • Design of knowledge-based agent as a social companion
    Wanner, Leo; André, Elisabeth; Blat, Josep; Dasiopoulou, Stamatia; Farrús, Mireia; Fraga, Thiago; Kamateri, Eleni; Lingenfelser, Florian; Llorach, Gerard; Martínez, Oriol; Meditskos, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico Mateo; Vieru, Bianca; Vrochidis, Stefanos (Elsevier, 2017)
    We present work in progress on an intelligent embodied conversation agent that is supposed to act as a social companion with linguistic and emotional competence in the context of basic and health care. The core of the agent ...
  • Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing
    Cámbara Ruiz, Guillermo; Luque, Jordi; Farrús, Mireia (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    The use of photoplethysmogram signal (PPG) for heart and sleep monitoring is commonly found nowadays in smart-phones and wrist wearables. Besides common usages, it has been proposed and reported that person information can ...
  • Dialect imitations in speaker recognition
    Farrús, Mireia; Eriksson, Erik; Sullivan, Kirk P. H.; Hernando, Javier (Documenta Universitaria, 2007)
    Voice imitation and disguise are possible threats to the performance of a speaker recognition system and to the accuracy of earwitness descriptions. One common disguise is the modification of the own dialect or accent. ...
  • Engineering and social responsibility: a case-based course
    Nadeu Camprubí, Climent; Mariño Acebal, José B.; Farrús, Mireia (2007)
    This paper describes a teaching experience. In spring 2006, a new optional course about engineering and responsibility was started at the Universitat Politècnica de Catalunya. Its methodology was mainly based on preparation ...
  • Fusing prosodic and acoustic information for speaker recognition
    Farrús, Mireia (Equinox Publishing, 2009)
    Automatic speaker recognition is the use of a machine to identify an individual from a spoken sentence. Recently, this technology has been increasingly used in applications such as access control, transaction authentication, ...
  • Fusión de sistemas de reconocimiento basados en características de alto y bajo nivel
    Farrús, Mireia; Anguita, Jan; Hernando, Javier; Cerdà, Ramon (Dirección Xeral de Creación e Difusión Cultural, 2007)
    Los sistemas automáticos de reconocimiento de locutor más utilizados recientemente están basados en características acústicas de bajo nivel, como las magnitudes espectrales, las frecuencias de los formantes, etc. Sin ...
  • Histogram equalization in SVM multimodal person verification
    Farrús, Mireia; Ejarque, Pascual; Temko, Andrey; Hernando, Javier (Springer, 2007)
    It has been shown that prosody helps to improve voice spectrum based speaker recognition systems. Therefore, prosodic features can also be used in multimodal person verification in order to achieve better results. In this ...
  • How vulnerable are prosodic features to professional imitators?
    Farrús, Mireia; Wagner, Michael; Anguita, Jan; Hernando, Javier (International Speech Communication Association (ISCA), 2008)
    Voice imitation is one of the potential threats to security systems that use automatic speaker recognition. Since prosodic features have been considered for state-of-the-art recognition systems in recent years, the question ...
  • Improving a Catalan-Spanish statistical translation system using morphosyntactic knowledge
    Farrús, Mireia; Costa-jussà, Marta R.; Poch, Marc; Hernández, Adolfo; Mariño Acebal, José B. (European Association for Machine Translation, 2009)
    In this paper, a human evaluation of a Catalan-Spanish Ngram-based statistical machine translation system is used to develop specific techniques based on the use of grammatical categories, lexical categorisation and text ...
  • Incorporating prosody into neural speech processing pipelines: applications on automatic speech transcription and spoken language machine translation
    Öktem, Alp (Universitat Pompeu Fabra, 2019-03-13)
    In this dissertation, I study the inclusion of prosody into two applications that involve speech understanding:~automatic speech transcription and spoken language translation. In the former case, I propose a method that ...
  • Incorporating subject areas into the Apertium machine translation system
    Duran Cals, Jordi; Villarejo Muñoz, Luis; Farrús, Mireia; Ortiz, Sergio; Ramírez, Gemma (Springer, 2013)
    The Universitat Oberta de Catalunya (Open University of Catalonia, UOC), is a public university based in Barcelona. The UOC is characterised by three main factors: (a) it is a virtual university based in an e-Learning ...
  • Integrating lexical and prosodic features for automatic paragraph segmentation
    Lai, Catherine; Farrús, Mireia; Moore, Johanna D. (Elsevier, 2020)
    Spoken documents, such as podcasts or lectures, are a growing presence in everyday life. Being able to automatically identify their discourse structure is an important step to understanding what a spoken document is about. ...
  • Jitter and shimmer measurements for speaker recognition
    Farrús, Mireia; Hernando, Javier; Ejarque, Pascual (International Speech Communication Association (ISCA), 2007)
    Jitter and shimmer are measures of the cycle-to-cycle variations of fundamental frequency and amplitude, respectively, which have been largely used for the description of pathological voice quality. Since they characterise ...
  • KRISTINA: a knowledge-based virtual conversation agent
    Wanner, Leo; André, Elisabeth; Blat, Josep; Dasiopoulou, Stamatia; Farrús, Mireia; Kamateri, Eleni; Lingenfelser, Florian; Llorach, Gerard; Martínez, Oriol; Meditskos, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico Mateo; Vieru, Bianca; Vrochidis, Stefanos (Springer, 2017)
    We present an intelligent embodied conversation agent with linguistic, social and emotional competence. Unlike the vast majority of the state-of-the-art conversation agents, the proposed agent is constructed around an ...
  • Learning engineering ethics by debate
    Nadeu Camprubí, Climent; Mariño Acebal, José B.; Farrús, Mireia (Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), Universitat Politècnica de Catalunya, 2008)
    In this communication, the authors aim to describe their experience in a couple of optional STS courses taught at the school Telecom BCN (ETSETB) of the Universitat Politècnica de Catalunya (UPC). The first one is about ...
  • Learning engineering without avoiding the “what for” question
    Basart i Muñoz, Josep M.; Farrús, Mireia; Florensa, Albert; Mariño Acebal, José B.; Nadeu Camprubí, Climent; Serra, Montse (Fundació Bancària "La Caixa", 2016)
  • Linguistic-based evaluation criteria to identify statistical machine translation errors
    Farrús, Mireia; Costa-jussà, Marta R.; Mariño Acebal, José B.; Fonollosa, José A Rodriguez (European Association for Machine Translation, 2010)
    Machine translation evaluation methods are highly necessary in order to analyze the performance of translation systems. Up to now, the most traditional methods are the use of automatic measures such as BLEU or the quality ...

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