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Analysis and Signal Processing of Oesophageal and Pathological Voices

  1. Two distinct two-class pattern recognition problems are studied, namely, the detection of male subjects who are diagnosed with vocal fold paralysis against male subjects who are diagnosed as normal and the det...

    Authors: Constantine Kotropoulos and Gonzalo R. Arce
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:203790
  2. The number of people affected by speech problems is increasing as the modern world places increasing demands on the human voice via mobile telephones, voice recognition software, and interpersonal verbal commu...

    Authors: Behnaz Ghoraani and Sridhar Krishnan
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:928974
  3. This work is focused on the evaluation of different methods to estimate the amount of jitter present in speech signals. The jitter value is a measure of the irregularity of a quasiperiodic signal and is a good...

    Authors: Dárcio G. Silva, Luís C. Oliveira and Mário Andrea
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:567875
  4. This paper addresses voice disorder assessment. It proposes an original back-and-forth methodology involving an automatic classification system as well as knowledge of the human experts (machine learning exper...

    Authors: Corinne Fredouille, Gilles Pouchoulin, Alain Ghio, Joana Revis, Jean-François Bonastre and Antoine Giovanni
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:982102
  5. This study is part of an ongoing collaborative effort between the medical and the signal processing communities to promote research on applying standard Automatic Speech Recognition (ASR) techniques for the au...

    Authors: Rubén Fernández Pozo, Jose Luis Blanco Murillo, Luis Hernández Gómez, Eduardo López Gonzalo, José Alcázar Ramírez and Doroteo T. Toledano
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:982531
  6. This paper presents an analysis system aiming at discriminating between normal and pathological voices. Compared to literature of voice pathology assessment, it is characterised by two aspects. First the syste...

    Authors: Thomas Dubuisson, Thierry Dutoit, Bernard Gosselin and Marc Remacle
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:173967
  7. Assistive speech-enabled systems are proposed to help both French and English speaking persons with various speech disorders. The proposed assistive systems use automatic speech recognition (ASR) and speech sy...

    Authors: Sid-Ahmed Selouani, Mohammed Sidi Yakoub and Douglas O'Shaughnessy
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:540409
  8. Harmonics-to-noise ratios (HNRs) are affected by general aperiodicity in voiced speech signals. To specifically reflect a signal-to-additive-noise ratio, the measurement should be insensitive to other periodic...

    Authors: Carlos Ferrer, Eduardo González, María E. Hernández-Díaz, Diana Torres and Anesto del Toro
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:784379
  9. This work presents the results in the analysis of the acoustic features (formants and the three suprasegmental features: tone, intensity and duration) of the vowel production in a group of 14 young speakers su...

    Authors: Oscar Saz, Javier Simón, W. Ricardo Rodríguez, Eduardo Lleida and Carlos Vaquero
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:159234
  10. Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems have been developed f...

    Authors: Santiago Omar Caballero Morales and Stephen J. Cox
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:308340
  11. It is commonly acknowledged that word or phoneme intelligibility is an important criterion in the assessment of the communication efficiency of a pathological speaker. People have therefore put a lot of effort...

    Authors: Catherine Middag, Jean-Pierre Martens, Gwen Van Nuffelen and Marc De Bodt
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:629030