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1
Acoustic features of dysphonic speech vs normal speech in New Zealand English speakers
Erfanian Sabaee, Maryam; Sharifzadeh, Hamid. - : Computing and Information Technology Research and Education New Zealand (CITRENZ), 2022
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2
Automated Assessment of Glottal Dysfunction Through Unified Acoustic Voice Analysis
In: ISSN: 0892-1997 ; Journal of Voice ; https://hal.archives-ouvertes.fr/hal-02987882 ; Journal of Voice, Elsevier, In press, ⟨10.1016/j.jvoice.2020.08.032⟩ (2021)
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3
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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5
Acoustic analysis and measurements of distorted speech in the NZ population
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6
A comprehensive review of computational methods for automatic prediction of schizophrenia with insight into indigenous populations
Randall, Ratana; Sharifzadeh, Hamid; Krishnan, J.. - : Frontiers Media (parent company: Holtzbrinck Publishing Group), 2019
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7
A comprehensive review of computational methods for automatic prediction of schizophrenia with insight into indigenous populations
Randall, Ratana; Sharifzadeh, Hamid; Krishnan, J.. - : Frontiers Media (parent company: Holtzbrinck Publishing Group), 2019
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8
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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9
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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10
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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11
Comparative whisper vowel space for Singapore English and British English accents
Sharifzadeh, Hamid R; Ardekani, Iman T; McLoughlin, Ian Vince. - : Institute of Electrical and Electronics Engineers (IEEE), 2016
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12
Phonated Speech Reconstruction Using Twin Mapping Models
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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
Reconstruction of Phonated Speech from Whispers Using Formant-Derived Plausible Pitch Modulation
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17
Phonated speech reconstruction using twin mapping models
Sharifzadeh, Hamid; HajiRassouliha, Amir; McLoughlin, I.V.; Ardekani, Iman; Allen, Jacqueline E.. - : IEEE Communications Society, 2015. : Unitec Institute of Technology, 2015. : University of Kent (Kent, United Kingdom), 2015. : North Shore Hospital (Auckland, N.Z.), 2015
Abstract: Computational speech reconstruction algorithms have the ultimate aim of returning natural sounding speech to aphonic and dysphonic individuals. These algorithms can also be used by unimpaired speakers for communicating sensitive or private information. When the glottis loses function due to disease or surgery, aphonic and dysphonic patients retain the power of vocal tract modulation to some degree but they are unable to speak anything more than hoarse whispers without prosthetic aid. While whispering can be seen as a natural and secondary aspect of speech communications for most people, it becomes the primary mechanism of communications for those who have impaired voice production mechanisms, such as laryngectomees. In this paper, by considering the current limitations of speech reconstruction methods, a novel algorithm for converting whispers to normal speech is proposed and the efficiency of the algorithm is discussed. The proposed algorithm relies upon twin mapping models and makes use of artificially generated whispers (called whisperised speech) to regenerate natural phonated speech from whispers. Through a training-based approach, the mapping models exploit whisperised speech to overcome frame to frame time alignment problem in the speech reconstruction process.
Keyword: 200402 Computational Linguistics; aphonic patients; computational speech reconstruction algorithms; dysphonic patients; impaired speech; speech reconstruction; voice production
URL: https://hdl.handle.net/10652/3352
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18
Phonated speech reconstruction using twin mapping models
Sharifzadeh, Hamid; HajiRassouliha, Amir; McLoughlin, I.V.. - : IEEE Communications Society, 2015
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19
Comparative whisper vowel space for Singapore English and British English accents
Sharifzadeh, Hamid; Ardekani, Iman; McLoughlin, I.V.. - : Asia-Pacific Signal and Information Association (APSIPA), 2015. : Unitec Institute of Technology, 2015. : University of Kent (Kent, United Kingdom), 2015
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20
Comparative whisper vowel space for Singapore English and British English accents
Sharifzadeh, Hamid; Ardekani, Iman; McLoughlin, I.V.. - : Asia-Pacific Signal and Information Association (APSIPA), 2015
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