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1
Acoustic analysis and measurements of distorted speech in the NZ population
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Acoustic analysis and measurements of distorted speech in the NZ population
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3
Acoustic analysis and measurements of distorted speech in the NZ population
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4
The 2016 NIST Speaker Recognition Evaluation
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5
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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6
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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7
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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8
The Voice Conversion Challenge, 2016: multidimensional scaling (MDS) listening test results ...
Unkn Unknown. - : University of Edinburgh. School of Informatics. Centre for Speech Technology Research, 2016
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9
Cascading Oscillators in Decoding Speech: Reflection of a Cortical Computation Principle
Ghitza,Oded. - 2016
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10
The MITLL NIST LRE 2015 Language Recognition System
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11
Investigation of Back-off Based Interpolation Between Recurrent Neural Network and N-gram Language Models (Author's Manuscript)
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12
The interaction of long-term voice quality with the realisation of focus ; Speech Prosody 2016
Abstract: Voice quality shifts have been shown to be associated with the realisation of accent, focus and deaccentuation. Mostly, accented and focally accented syllables are reported to exhibit a tenser mode of phonation than the unaccented, but accentuation with a laxer/breathier quality is also reported. Possibly, the long-term voice quality of the speaker (or of the utterance) influences the voice quality of accented/unaccented syllables. This paper examines the hypothesis that speakers, if using a tenser mode of phonation in an utterance, signal accentuation more through breathiness than through tenseness. A single informant produced an utterance with three phonation types, modal, breathy and tense, with variable focal placement. The utterances were manually inverse filtered and the voice source parameters F0, EE, UP, RG, OQ, RD were obtained by fitting the LF (Liljencrants-Fant) model to the estimated glottal flow. The change in parameter settings in focally accented syllables was examined relative to the adjacent unaccented syllables. Overall, focally accented syllables are associated with tenser phonation, except in the utterance-initial position where they are associated with breathier voice irrespective of the sentence s intended phonation type. The voice source modulations in focal accentuation depend on the position of the focal syllable in the phrase.
Keyword: Accentuation; Digital Humanities; Focus; Intelligent Content & Communications; Phonation types; Phrase-initial; Prominence; Voice prosody; Voice quality; Voice source
URL: http://people.tcd.ie/yanushi
https://www.isca-speech.org/archive/SpeechProsody_2016/abstracts/65.html
http://people.tcd.ie/anichsid
http://hdl.handle.net/2262/92589
https://doi.org/10.21437/SpeechProsody.2016-191
http://people.tcd.ie/cegobl
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13
Bionic voice (pilot study) : natural speech restoration for voice impaired individuals
Sharifzadeh, Hamid; Allen, Jacqui E.; Sarrafzadeh, Hossein. - : Health Informatics New Zealand, 2016. : Unitec Institute of Technology, 2016. : Auckland Voice and Swallow, 2016
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14
Bionic voice (pilot study) : natural speech restoration for voice impaired individuals
Sharifzadeh, Hamid; Allen, Jacqui E.; Sarrafzadeh, Hossein. - : Health Informatics New Zealand, 2016
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15
Bionic voice (pilot study) : natural speech restoration for voice impaired individuals
Sharifzadeh, Hamid; Allen, Jacqui E.; Sarrafzadeh, Hossein. - : Health Informatics New Zealand, 2016
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16
Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment
In: DTIC (2015)
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17
The Effects of Student Narration in College Engineering Classes
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18
Study of Discussion Record Analysis Using Temporal Data Crystallization and Its Application to TV Scene Analysis
In: DTIC (2015)
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19
Respirator Speech Intelligibility Testing with an Experienced Speaker
In: DTIC (2015)
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20
A Novel Scheme for Speaker Recognition Using a Phonetically-Aware Deep Neural Network
In: DTIC (2014)
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