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Neural Speech Decoding During Audition, Imagination and Production
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In: IEEE (2021)
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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
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Deblurring for Spiral Real-Time MRI Using Convolutional Neural Networks ...
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Vocal tract shaping of emotional speech
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In: Comput Speech Lang (2020)
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Data from: Speed-accuracy tradeoffs in human speech production ...
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Dynamic Off-resonance Correction for Spiral Real-Time MRI of Speech
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Abstract:
PURPOSE: To improve the depiction and tracking of vocal tract articulators in spiral real-time magnetic resonance imaging (RT-MRI) of speech production, by estimating and correcting for dynamic changes in off-resonance. METHODS: The proposed method computes a dynamic field map from the phase of single-TE dynamic images after a coil phase compensation where complex coil sensitivity maps are estimated from the single-TE dynamic scan itself. This method is tested using simulations, and in-vivo data. The depiction of air-tissue boundaries is evaluated quantitatively using a sharpness metric, and using visual inspection. RESULTS: Simulations demonstrate that the proposed method provides robust off-resonance correction for spiral readout durations up to 5 ms at 1.5 Tesla. In-vivo experiments during human speech production demonstrate that image sharpness is improved in a majority of datasets at air-tissue boundaries including the upper lip, hard palate, soft palate, and tongue boundaries, while the lower lip shows little improvement in the edge sharpness after correction. CONCLUSION: Dynamic off-resonance correction is feasible from single-TE spiral RT-MRI data, and provides a practical performance improvement in articulator sharpness when applied to speech production imaging.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258270/ http://www.ncbi.nlm.nih.gov/pubmed/30058147 https://doi.org/10.1002/mrm.27373
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A technology prototype system for rating therapist empathy from audio recordings in addiction counseling
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Advances in real-time magnetic resonance imaging of the vocal tract for speech science and technology research
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"Rate My Therapist": Automated Detection of Empathy in Drug and Alcohol Counseling via Speech and Language Processing
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On Quantifying Facial Expression-Related Atypicality of Children with Autism Spectrum Disorder
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Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories
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Dynamic 3-D visualization of vocal tract shaping during speech
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Analyzing the Language of Therapist Empathy in Motivational Interview based Psychotherapy
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