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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
Abstract: Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development, and clinical applications. Easy access to RT-MRI is however limited, and comprehensive datasets with broad access are needed to catalyze research across numerous domains. The imaging of the rapidly moving articulators and dynamic airway shaping during speech demands high spatio-temporal resolution and robust reconstruction methods. Further, while reconstructed images have been published, to-date there is no open dataset providing raw multi-coil RT-MRI data from an optimized speech production experimental setup. Such datasets could enable new and improved methods for dynamic image reconstruction, artifact correction, feature extraction, and direct extraction of linguistically-relevant biomarkers. The present dataset offers a unique corpus of 2D sagittal-view RT-MRI videos along with synchronized audio for 75 subjects performing ...
Keyword: 170203 Knowledge Representation and Machine Learning; 170204 Linguistic Processes incl. Speech Production and Comprehension; 200404 Laboratory Phonetics and Speech Science; 80106 Image Processing; 90303 Biomedical Instrumentation; 90304 Medical Devices; 90609 Signal Processing; Artificial Intelligence and Image Processing; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; FOS Languages and literature; FOS Medical engineering; FOS Psychology; Linguistics
URL: https://dx.doi.org/10.6084/m9.figshare.13725546
https://figshare.com/articles/dataset/A_multispeaker_dataset_of_raw_and_reconstructed_speech_production_real-time_MRI_video_and_3D_volumetric_images/13725546
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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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Engineering In Speech Science (Hagedorn et al., 2019) ...
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Engineering In Speech Science (Hagedorn et al., 2019) ...
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5
The Twins corpus of museum visitor questions
In: http://people.ict.usc.edu/~traum/Papers/twins-corpus.pdf (2012)
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Morphological variation in the adult vocal tract: A study using rtmri
In: http://mproctor.net/docs/lammert11_IS2011_morphology.pdf (2011)
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Direct Estimation of Articulatory Kinematics from Real-time Magnetic Resonance Image Sequences
In: http://mproctor.net/docs/proctor11_IS2011_constriction.pdf (2011)
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A multimodal real-time MRI articulatory corpus for speech research
In: http://mproctor.net/docs/narayanan11_IS2011_MRI-TIMIT.pdf (2011)
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Para-linguistic mechanisms of production in human ’beatboxing’: a real-time mri study
In: http://mproctor.net/docs/proctor10_IS2010_beatboxing.pdf (2010)
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10
Rapid semiautomatic segmentation of real-time Magnetic Resonance Images for parametric vocal tract analysis
In: http://mproctor.net/docs/proctor10_IS2010_segmentation.pdf (2010)
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11
Connecting rhythm and prominence in automatic ESL pronunciation scoring
In: http://www.josephtepperman.com/nava_rhythm_2009.pdf (2009)
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12
Analysis of emotionally salient aspects of fundamental frequency for emotion detection
In: http://www.utdallas.edu/dept/eecs/research/researchlabs/msp-lab/publications/Busso_2009.pdf (2009)
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Automatic classification of question turns in spontaneous speech using lexical and prosodic evidence
In: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631211/pdf/nihms54014.pdf (2008)
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14
An empirical analysis of user uncertainty in problem-solving child–machine interactions
In: http://care.usc.edu/research/Papers/MattJeannette-Uncertainty.pdf (2008)
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A text-free approach to assessing nonnative intonation
In: http://sail.usc.edu/publications/tepperman_intonation_icslp07.pdf (2007)
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An English-Persian Automatic Speech Translator: Recent Developments in Domain Portability and User Modeling
In: http://sail.usc.edu/publications/georgiou_isyc2006_s2s.pdf (2006)
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Abstract
In: http://sail.usc.edu/publications/Sethy-SpeechComm2006.pdf (2006)
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18
Combining acoustic, lexical, and syntactic evidence for automatic unsupervised prosody labeling
In: http://sail.usc.edu/publications/ananthak_icslp06.pdf (2006)
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Detection of Non-Native Named Entities Using Prosodic Features for Improved Speech Recognition and Translation
In: http://isca-speech.org/archive_open/archive_papers/ml06/ml06_003.pdf (2006)
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Vector-based representation and clustering of audio using onomatopoeia words
In: https://www.aaai.org/Papers/Symposia/Fall/2006/FS-06-01/FS06-01-012.pdf (2006)
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