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1
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ...
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2
Introducing Phonetic Information to Speaker Embedding for Speaker Verification
In: Electrical and Computer Engineering Faculty Publications (2019)
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3
Speaker Embedding Extraction with Phonetic Information ...
Liu, Yi; He, Liang; Liu, Jia. - : arXiv, 2018
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4
Advanced Recurrent Network-Based Hybrid Acoustic Models for Low Resource Speech Recognition
In: Electrical and Computer Engineering Faculty Publications (2018)
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5
Investigation of Frame Alignments for GMM-based Digit-prompted Speaker Verification ...
Liu, Yi; He, Liang; Zhang, Weiqiang. - : arXiv, 2017
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6
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification ...
Liu, Yi; He, Liang; Tian, Yao. - : arXiv, 2017
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7
Jaw Rotation in Dysarthria Measured With a Single Electromagnetic Articulography Sensor
In: Speech Pathology and Audiology Faculty Research and Publications (2017)
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8
Development of Kinematic Templates for Automatic Pronunciation Assessment Using Acoustic-to-Articulatory Inversion
In: Master's Theses (2009 -) (2017)
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9
Acoustic sequences in non-human animals : a tutorial review and prospectus
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10
Analysis of Interference between Electromagnetic Articulography and Electroglottograph Systems
In: Master's Theses (2009 -) (2016)
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11
Parallel Reference Speaker Weighting for Kinematic-Independent Acoustic-to-Articulatory Inversion
In: Speech Pathology and Audiology Faculty Research and Publications (2016)
Abstract: Acoustic-to-articulatory inversion, the estimation of articulatory kinematics from an acoustic waveform, is a challenging but important problem. Accurate estimation of articulatory movements has the potential for significant impact on our understanding of speech production, on our capacity to assess and treat pathologies in a clinical setting, and on speech technologies such as computer aided pronunciation assessment and audio-video synthesis. However, because of the complex and speaker-specific relationship between articulation and acoustics, existing approaches for inversion do not generalize well across speakers. As acquiring speaker-specific kinematic data for training is not feasible in many practical applications, this remains an important and open problem. This paper proposes a novel approach to acoustic-to-articulatory inversion, Parallel Reference Speaker Weighting (PRSW), which requires no kinematic data for the target speaker and a small amount of acoustic adaptation data. PRSW hypothesizes that acoustic and kinematic similarities are correlated and uses speaker-adapted articulatory models derived from acoustically derived weights. The system was assessed using a 20-speaker data set of synchronous acoustic and Electromagnetic Articulography (EMA) kinematic data. Results demonstrate that by restricting the reference group to a subset consisting of speakers with strong individual speaker-dependent inversion performance, the PRSW method is able to attain kinematic-independent acoustic-to-articulatory inversion performance nearly matching that of the speaker-dependent model, with an average correlation of 0.62 versus 0.63. This indicates that given a sufficiently complete and appropriately selected reference speaker set for adaptation, it is possible to create effective articulatory models without kinematic training data.
Keyword: acoustic-to-articulatory inversion; acoustics; adaptation models; Electrical and Computer Engineering; electromagnetic articulography; hidden markov models; kinematics; maximum likelihood estimation; speech; Speech Pathology and Audiology; speech processing
URL: https://epublications.marquette.edu/cgi/viewcontent.cgi?article=1038&context=spaud_fac
https://epublications.marquette.edu/spaud_fac/39
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12
Acoustic Sequences in Non-human Animals: A Tutorial Review and Prospectus
In: Electrical and Computer Engineering Faculty Research and Publications (2016)
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13
Acoustic sequences in nonâ human animals: a tutorial review and prospectus
Kershenbaum, Arik; Blumstein, Daniel T.; Roch, Marie A.. - : Blackwell Publishing Ltd, 2016. : Wiley Periodicals, Inc., 2016
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14
Acoustic sequences in non-human animals: a tutorial review and prospectus.
Kershenbaum, Arik; Blumstein, Daniel T; Roch, Marie A. - : Wiley, 2016. : Biol Rev Camb Philos Soc, 2016
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15
Mind, Language, Machine : Artificial Intelligence in the Poststructuralist Age
Johnson, Michael L. [Verfasser]. - Basingstoke : Palgrave Macmillan UK, 2015
DNB Subject Category Language
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16
Embodied cognition, Latin pedagogy, and the rhetorical foundations of medieval vernacular poetry
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17
Speech enhancement using Bayesian estimators of the perceptually-motivated short-time spectral amplitude (STSA) with Chi speech priors
In: Speech communication. - Amsterdam [u.a.] : Elsevier 57 (2014), 101-113
OLC Linguistik
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18
The Electromagnetic Articulography Mandarin Accented English (EMA-MAE) Corpus of Acoustic and 3D Articulatory Kinematic Data
In: Speech Pathology and Audiology Faculty Research and Publications (2014)
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19
Sensorimotor Adaptation of Speech Using Real-time Articulatory Resynthesis
In: Speech Pathology and Audiology Faculty Research and Publications (2014)
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20
Physiologically-motivated Feature Extraction for Speaker Identification
In: Electrical and Computer Engineering Faculty Research and Publications (2014)
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