Exploració per autor "Rodríguez Fonollosa, José Adrián"
Ara es mostren els items 21-40 de 128
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Automatic database acquisition software for ISDN PC cards and analogue boards
Rodríguez Fonollosa, José Adrián; Moreno Bilbao, M. Asunción (1998)
Text en actes de congrés
Accés obertThis paper describes an application for automatic speechdatabases acquisition (ADA) developed by the authors in the framework of the EC Telematics Project SpeechDat II. The software is able to work with standard inexpensive ... -
Automatic Spanish translation of SQuAD dataset for multi-lingual question answering
Carrino, Casimiro Pio; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (European Language Resources Association (ELRA), 2020)
Comunicació de congrés
Accés obertRecently, multilingual question answering became a crucial research topic, and it is receiving increased interest in the NLP community.However, the unavailability of large-scale datasets makes it challenging to train ... -
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 obertAutomatic 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. ... -
AVPC-Subband Coding System for Speech Encoding
Masgrau Gómez, Enrique José; Mariño Acebal, José Bernardo; Rodríguez Fonollosa, José Adrián; Salavedra Molí, Josep (1987)
Text en actes de congrés
Accés obertThe combination of Vector Quantization (VQ) and predictive techniques -named AVPC systems- has been shown as interesting systems for speech waveform coding at medium-high rates (ref. 1 to 3). In this work we present a such ... -
BERT masked language modeling for co-reference resolution
Alfaro, Felipe; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2019)
Text en actes de congrés
Accés obertThis paper explains the TALP-UPC participation for the Gendered Pronoun Resolution shared-task of the 1st ACL Workshop on Gender Bias for Natural Language Processing. We have implemented two models for mask language modeling ... -
Blind channel estimation and data detection using hidden Markov models theory
Antón Haro, Carles; Rodríguez Fonollosa, José Adrián; Rodríguez Fonollosa, Javier (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 1997-01-01)
Article
Accés obertIn this correspondence, we propose applying the hidden Markov models (HMM) theory to the problem of blind channel estimation and data detection. The Baum–Welch (BW) algorithm, which is able to estimate all the parameters ... -
Blind multiuser deconvolution in fading and dispersive channels
Rodríguez Fonollosa, Javier; Rodríguez Fonollosa, José Adrián; Zvonar, Z; Vidal Manzano, José (. S.N., 1995)
Text en actes de congrés
Accés obertAn adaptive near-far resistant technique for the blind joint multiuser identification and detection in asynchronous CDMA systems is analyzed in fading and dispersive GSM channels. -
Blind multiuser detection using hidden markov models theory
Antón Haro, Carles; Rodríguez Fonollosa, José Adrián; Rodríguez Fonollosa, Javier (BOB WERNER IEEE, 1996)
Text en actes de congrés
Accés obertWe present an adaptive algorithm based on the theory of hidden Markov models (HMM) which is capable of jointly detecting the users in a DS-CDMA system. The proposed technique is near-far resistant and completely blind in ... -
Blind multiuser detection with array observations
Rodríguez Fonollosa, Javier; Zvonar, Z; Rodríguez Fonollosa, José Adrián; Catala, J (1998-01)
Article
Accés obertCochannel interference is usually a major limitation to the performance of mobile wireless systems. Examples of different forms of cochannel interference include multi-access interference in CDMA systems and cochannel ... -
Blind multiuser detection with probabilistic algorithms - application to underwater communications
Antón Haro, Carles; Rodríguez Fonollosa, José Adrián; Zvonar, Zaran; Rodríguez Fonollosa, Javier (IEEE IEEE, 1997)
Text en actes de congrés
Accés obertIn this paper, two probabilistic adaptive algorithms for jointly detecting active users in a DS-CDMA system are compared. The first one, which is based on the theory of hidden Markov models (HMM) is proposed within the ... -
Blind multiuser identification and detection in cdma systems
Rodríguez Fonollosa, Javier; Rodríguez Fonollosa, José Adrián; Zvonar, Z; Vidal Manzano, José (Institute of Electrical and Electronics Engineers (IEEE), 1995)
Text en actes de congrés
Accés obertMultiuser detection in code division multiple access systems usually requires either knowledge of the transmitted signature sequences and channel state information or use of a known training sequence for adaptation. We ... -
BUCEADOR, a multi-language search engine for digital libraries
Adell Mercado, Jordi; Bonafonte Cávez, Antonio; Cardenal, Antonio; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián; Moreno Bilbao, M. Asunción; Navas, Eva; Rodríguez Banga, Eduardo (2012)
Comunicació de congrés
Accés obertThis paper presents a web-based multimedia search engine built within the Buceador (www.buceador.org) research project. A proof-of-concept tool has been implemented which is able to retrieve information from a digital ... -
Byte-based neural machine translation
Ruiz Costa-Jussà, Marta; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2017)
Text en actes de congrés
Accés obertThis paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural ... -
Character-based neural machine translation
Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2016)
Comunicació de congrés
Accés obertNeural Machine Translation (MT) has reached state-of-the-art results. However, one of the main challenges that neural MT still faces is dealing with very large vocabularies and morphologically rich languages. In this paper, ... -
Character-level intra attention networks for natural language inference
Yang, Han; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017)
Comunicació de congrés
Accés obertNatural language inference (NLI) is a central problem in language understand- ing. End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently. In this paper, we propose Character- ... -
Chinese-Catalan: A neural machine translation approach based on pivoting and attention mechanisms
Ruiz Costa-Jussà, Marta; Casas Manzanares, Noé; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián (2019-01-01)
Article
Accés obertThis article innovatively addresses machine translation from Chinese to Catalan using neural pivot strategies trained without any direct parallel data. The Catalan language is very similar to Spanish from a linguistic point ... -
Chinese–Spanish neural machine translation enhanced with character and word bitmap fonts
Ruiz Costa-Jussà, Marta; Aldón Mínguez, David; Rodríguez Fonollosa, José Adrián (2017-04-06)
Article
Accés obertRecently, machine translation systems based on neural networks have reached state-of-the-art results for some pairs of languages (e.g., German–English). In this paper, we are investigating the performance of neural machine ... -
Codificación de voz multipulso en tiempo real según recomendación GSM 6.10
Antón Haro, Carles; Rodríguez Fonollosa, José Adrián (Universidad de las Palmas de Gran Canaria, 1994)
Comunicació de congrés
Accés obert -
Combining Length restrictions and N-Best Techniques in multiple-pas search strategies
Rodríguez Fonollosa, José Adrián (G. Olaszy, G. Németh, K. Erdohegyi, 1999)
Text en actes de congrés
Accés obert -
Combining phrase and neural-based machine translation: what worked and did not
Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017)
Article
Accés restringit per política de l'editorialPhrase-based machine translation assumes that all words are at the same distance and translates them using feature functions that approximate the probability at different levels. On the other hand, neural machine translation ...