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Atypical Speech

  1. Authors: Georg Stemmer, Elmar Nöth and Vijay Parsa
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:835974
    Content type: Editorial Published on:

  2. This work explores the effect of mismatches between adults' and children's speech due to differences in various acoustic correlates on the automatic speech recognition performance under mismatched conditions. ...

    Authors: Shweta Ghai and Rohit Sinha
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:318785
    Content type: Research Article Published on:

  3. The paper considers the task of recognizing phonemes and words from a singing input by using a phonetic hidden Markov model recognizer. The system is targeted to both monophonic singing and singing in polyphon...

    Authors: Annamaria Mesaros and Tuomas Virtanen
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:546047
    Content type: Research Article Published on:

  4. With ageing, human voices undergo several changes which are typically characterized by increased hoarseness and changes in articulation patterns. In this study, we have examined the effect on Automatic Speech ...

    Authors: Ravichander Vipperla, Steve Renals and Joe Frankel
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:525783
    Content type: Research Article Published on:

  5. Breathy and whispery voices are nonmodal phonations produced by an air escape through the glottis and may carry important linguistic or paralinguistic information (intentions, attitudes, and emotions), dependi...

    Authors: CarlosToshinori Ishi, Hiroshi Ishiguro and Norihiro Hagita
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:528193
    Content type: Research Article Published on:

  6. The automatic recognition of children's speech is well known to be a challenge, and so is the influence of affect that is believed to downgrade performance of a speech recogniser. In this contribution, we inve...

    Authors: Stefan Steidl, Anton Batliner, Dino Seppi and Björn Schuller
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:783954
    Content type: Research Article Published on:

  7. Computer-Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with non-native speech that is particularly challenging. Since unconstrained non-na...

    Authors: Joost van Doremalen, Catia Cucchiarini and Helmer Strik
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2009 2010:973954
    Content type: Research Article Published on:

  8. In patients suffering from head and neck cancer, speech intelligibility is often restricted. For assessment and outcome measurements, automatic speech recognition systems have previously been shown to be appro...

    Authors: Andreas Maier, Tino Haderlein, Florian Stelzle, Elmar Nöth, Emeka Nkenke, Frank Rosanowski, Anne Schützenberger and Maria Schuster
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2009 2010:926951
    Content type: Research Article Published on: