Atypical Speech
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Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:835974
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Exploring the Effect of Differences in the Acoustic Correlates of Adults' and Children's Speech in the Context of Automatic Speech Recognition
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. ...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:318785 -
Automatic Recognition of Lyrics in Singing
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...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:546047 -
Ageing Voices: The Effect of Changes in Voice Parameters on ASR Performance
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 ...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:525783 -
Analysis of the Roles and the Dynamics of Breathy and Whispery Voice Qualities in Dialogue Speech
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...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:528193 -
On the Impact of Children's Emotional Speech on Acoustic and Language Models
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...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2010 2010:783954 -
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
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...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2009 2010:973954 -
Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer
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...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2009 2010:926951