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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Affect Expression: Global and Local Control of Voice Source Parameters ; Speech Prosody Yanushevskaya, Irena; Gobl, Christer; Murphy, Andrew. - 2022 BASE Show details 2 Students’ views and experiences of the training and use of phonetic transcription in speech and language therapy – the Irish perspective ... Shaw, Áine; Yanushevskaya, Irena. - : Taylor & Francis, 2021 BASE Show details 3 Students’ views and experiences of the training and use of phonetic transcription in speech and language therapy – the Irish perspective ... Shaw, Áine; Yanushevskaya, Irena. - : Taylor & Francis, 2021 BASE Show details 4 Students views and experiences of the training and use of phonetic transcription in speech and language therapy - the Irish perspective Yanushevskaya, Irena. - 2021 BASE Show details 5 Integrating a voice analysis-synthesis system with a TTS framework for controlling affect and speaker identity ; 2021 32nd Irish Signals and Systems Conference (ISSC) Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2021 BASE Show details 6 The role of voice quality in the perception of prominence in synthetic speech ; Interspeech 2019 Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2019 BASE Show details 7 Comparison of time and frequency domain measures of the voice source ; ICPhS 2019: the 19th International Congress of Phonetic Sciences Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2019 BASE Show details 8 Voice assessment practices of speech and language therapists in Ireland Yanushevskaya, Irena. - 2019 BASE Show details 9 Cross-language differences in how voice quality and f0 contours map to affect ; Voice quality and cross-language affect perception Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2018 BASE Show details 10 Cross-speaker variation in voice source correlates of focus and deaccentuation ; INTERSPEECH 2017 YANUSHEVSKAYA, IRENA; GOBL, CHRISTER; NI CHASAIDE, AILBHE. - 2017 BASE Show details 11 Measuring vocal fatigue in sports coaches Yanushevskaya, Irena. - 2017 BASE Show details 12 The relationship between voice source parameters and the Maxima Dispsersion Quotient (MDQ) Yanushevskaya, Irena; Gobl, Christer; Ní Chasaide, Ailbhe. - 2016 BASE Show details 13 The interaction of long-term voice quality with the realisation of focus ; Speech Prosody 2016 YANUSHEVSKAYA, IRENA; GOBL, CHRISTER; NI CHASAIDE, AILBHE. - 2016 BASE Show details 14 Perceptual salience of voice source parameters in signaling focal prominence ; Interspeech 2016 Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2016 BASE Show details 15 Prosody of voice: declination, sentence mode and interaction with prominence ; The 18th International Congress of Phonetic Sciences (ICPhS 2015) Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2015 BASE Show details 16 Illustrations of the IPA: Russian Yanushevskaya, Irena; Bunčić, Daniel. - : Cambridge University Press, 2015 BASE Show details 17 Phonetic feature extraction for context-sensitive glottal source processing Kane, John; Aylett, Matthew; Yanushevskaya, Irena... In: Speech communication. - Amsterdam [u.a.] : Elsevier 59 (2014), 10-21 OLC Linguistik Show details 18 Pitch range declination and reset in turn-taking organisation ; Speech Prosody 7 Yanushevskaya, Irena. - 2014 BASE Show details 19 Phonetic feature extraction for context-sensitive glottal source processing GOBL, CHRISTER; YANUSHEVSKAYA, IRENA. - 2014 Abstract: PUBLISHED ; The effectiveness of glottal source analysis is known to be dependent on the phonetic properties of its concomitant supraglottal features. Phonetic classes like nasals and fricatives are particularly problematic. Their acoustic characteristics, including zeros in the vocal tract spectrum and aperiodic noise, can have a negative effect on glottal inverse filtering, a necessary pre-requisite to glottal source analysis. In this paper, we first describe and evaluate a set of binary feature extractors, for phonetic classes with relevance for glottal source analysis. As voice quality classification is typically achieved using feature data derived by glottal source analysis, we then investigate the effect of removing data from certain detected phonetic regions on the classification accuracy. For the phonetic feature extraction, classification algorithms based on Artificial Neural Networks (ANNs), Gaussian Mixture Models (GMMs) and Support Vector Machines (SVMs) are compared. Experiments demonstrate that the discriminative classifiers (i.e. ANNs and SVMs) in general give better results compared with the generative learning algorithm (i.e. GMMs). This accuracy generally decreases according to the sparseness of the feature (e.g., accuracy is lower for nasals compared to syllabic regions). We find best classification of voice quality when just using glottal source parameter data derived within detected syllabic regions. Keyword: Expressive speech; Glottal source; Phonation type; Speech processing/technology; Speech synthesis; Voice quality URL: http://people.tcd.ie/cegobl http://hdl.handle.net/2262/68180 http://people.tcd.ie/yanushi https://doi.org/10.1016/j.csl.2014.03.002 BASE Hide details 20 GlóRí - the glottal research instrument ; Speech Prosody 7 Yanushevskaya, Irena; Gobl, Christer; Ní Chasaide, Ailbhe. - 2014 BASE Show details Page: 1 2

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