Search Results - "Perdigao, Fernando"

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  1. 1

    PureMIC: A New Audio Dataset for the Classification of Musical Instruments based on Convolutional Neural Networks by Castel-Branco, Gonçalo, Falcao, Gabriel, Perdigão, Fernando

    Published in Journal of signal processing systems (01-09-2021)
    “…Automatic classification of musical instruments from audio relies heavily on datasets of acoustic recordings of the instruments to train models of those…”
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    Journal Article
  2. 2

    In-Vivo Automatic Nuclear Cataract Detection and Classification in an Animal Model by Ultrasounds by Caixinha, Miguel, Amaro, Joao, Santos, Mario, Perdigao, Fernando, Gomes, Marco, Santos, Jaime

    “…Objective: To early detect nuclear cataract in vivo and automatically classify its severity degree, based on the ultrasound technique, using machine learning…”
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    Journal Article
  3. 3

    A-scan ultrasound in ophthalmology: A simulation tool by Petrella, Lorena, Perdigão, Fernando, Caixinha, Miguel, Santos, Mário, Lopes, Maria, Gomes, Marco, Santos, Jaime

    Published in Medical engineering & physics (01-11-2021)
    “…•The developed tool allows simulating ophthalmological applications of A-scan ultrasounds.•The tool allows evaluating diverse error sources associated to…”
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    Journal Article
  4. 4

    Automatic evaluation of reading aloud performance in children by Proença, Jorge, Lopes, Carla, Tjalve, Michael, Stolcke, Andreas, Candeias, Sara, Perdigão, Fernando

    Published in Speech communication (01-11-2017)
    “…Evaluating children's reading aloud proficiency is typically a task done by teachers on an individual basis, where reading time and wrong words are marked…”
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    Journal Article
  5. 5

    Safety Assessment of an A‐Scan Ultrasonic System for Ophthalmic Use by Petrella, Lorena, Fernandes, Paulo, Santos, Mário, Caixinha, Miguel, Nunes, Sandrina, Pinto, Carlos, Morgado, Miguel, Santos, Jaime, Perdigão, Fernando, Gomes, Marco

    Published in Journal of ultrasound in medicine (01-11-2020)
    “…Objectives This study describes the safety assessment of an A‐scan ultrasonic system for ophthalmic use. The system is an investigational medical device for…”
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    Journal Article
  6. 6

    Broad phonetic class definition driven by phone confusions by Lopes, Carla, Perdigão, Fernando

    “…Intermediate representations between the speech signal and phones may be used to improve discrimination among phones that are often confused. These…”
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    Journal Article
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    Modelling of an ultrasound-based system for cataract detection and classification by Santos, Mario J., Conceição, Inês M, Petralla, Lorena, Perdigão, Fernando, Santos, Jaime, Caixinha, Miguel, Gomes, Marco, Morgado, Miguel

    “…Cataract is a cloudiness in the lens of the eye affecting its transparency. Surgical cataract removal is the only therapeutic approach. Phacoemulsification is…”
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    Journal Article
  9. 9

    A-scan ultrasonic system for real time automatic cataract detection by Petrella, Lorena, Pinto, Carlos, Perdigão, Fernando, Gomes, Marco, Santos, Mário, Nunes, Sandrina, Morgado, Miguel, Caixinha, Miguel, Santos, Jaime

    Published in Health and technology (01-07-2020)
    “…Cataract is an ocular condition associated to the loss of the normal crystalline lens transparency, and its progression can result in a total loss of vision…”
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    Journal Article
  10. 10

    Deep Learning-based Demodulator for Magnitude Modulated Signals by Henriques, Diogo, Gomes, Marco, Silva, Vitor, Perdigao, Fernando

    “…The current applications' requirement for higher data rates typically results in an increase in the signal's Peak-to-Average Power Ratio (PAPR), which harms…”
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    Conference Proceeding
  11. 11

    ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation by Tejedor, Javier, Toledano, Doroteo T., Lopez-Otero, Paula, Docio-Fernandez, Laura, Proença, Jorge, Perdigão, Fernando, García-Granada, Fernando, Sanchis, Emilio, Pompili, Anna, Abad, Alberto

    “…Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of…”
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    Journal Article
  12. 12

    Enhancing the Labelling of Audio Samples for Automatic Instrument Classification Based on Neural Networks by Castel-Branco, Goncalo, Falcao, Gabriel, Perdigao, Fernando

    “…The polyphonic OpenMIC-2018 dataset is based on weak and incomplete labels. The automatic classification of sound events, based on the VGGish bottleneck layer…”
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    Conference Proceeding
  13. 13

    Syllable structure in dysfunctional Portuguese children's speech by Candeias, Sara, Perdigão, Fernando

    Published in Clinical linguistics & phonetics (01-11-2010)
    “…The goal of this work is to investigate whether children with speech dysfunctions (SD) show a deficit in planning some Portuguese syllable structures (PSS) in…”
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    Journal Article Conference Proceeding
  14. 14

    A method for the extraction of phonetically-rich triphone sentences by Mendonca, Gustavo, Candeias, Sara, Perdigao, Fernando, Shulby, Christopher, Toniazzo, Rean, Klautau, Aldebaro, Aluisio, Sandra

    “…A method is proposed for compiling a corpus of phonetically-rich triphone sentences; i.e., sentences with a high variety of triphones, distributed in a uniform…”
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    Conference Proceeding
  15. 15

    Mispronunciation Detection in Children's Reading of Sentences by Proenca, Jorge, Lopes, Carla, Tjalve, Michael, Stolcke, Andreas, Candeias, Sara, Perdigao, Fernando

    “…This paper proposes an approach to automatically parse children's reading of sentences by detecting word pronunciations and extra content, and to classify…”
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    Journal Article
  16. 16

    Generalising the simultaneous computation of the DFTs of two real sequences using a single N-point DFT by Silva, Vitor, Perdigão, Fernando

    Published in Signal processing (01-03-2002)
    “…A general approach to the problem of simultaneous computation of the discrete Fourier transform (DFT) of two sequences of length N, which may be real,…”
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    Journal Article
  17. 17

    Importance of speaker specific speech features for emotion recognition by Assuncao, Gustavo, Menezes, Paulo, Perdigao, Fernando

    “…The recognition of emotions is an inherent ability possessed by humans, which has long intrigued many researchers. Primarily due to the possibility of its…”
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    Conference Proceeding
  18. 18

    Query by example search with segmented dynamic time warping for non-exact spoken queries by Proenga, Jorge, Veiga, Arlindo, Perdigao, Fernando

    “…This paper presents an approach to the Query-by-Example task of finding spoken queries on speech databases when the intended match may be non-exact or slightly…”
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    Conference Proceeding
  19. 19

    Generating a pronunciation dictionary for European Portuguese using a joint-sequence model with embedded stress assignment by Veiga, Arlindo, Candeias, Sara, Perdigão, Fernando

    Published in Journal of the Brazilian Computer Society (01-06-2013)
    “…This paper addresses the problem of grapheme to phoneme conversion to create a pronunciation dictionary from a vocabulary of the most frequent words in…”
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    Journal Article
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