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Abstract A detailed understanding of how the acoustic patterns of speech sounds are generated by the complex 3D shapes of the vocal tract is a major goal in speech research. The Dresden Vocal Tract Dataset (DVTD) presented here contains geometric and (aero)acoustic data of the vocal tract of 22 German speech sounds (16 vowels, 5 fricatives, 1 lateral), each from one male and one...
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Currently available data set consists of the DICOM-datafiles and corresponding sound samples for all the finnish vowels. Some derivatives obtained from the image and sound data are also provided, this includes the surface models for the vowels.
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Abstract The use of real-time magnetic resonance imaging (rt-MRI) of speech is increasing in clinical practice and speech science research. Analysis of such images often requires segmentation of articulators and the vocal tract, and the community is turning to deep-learning-based methods to perform this segmentation. While there are publicly available rt-MRI datasets of speech,...
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Abstract The study of articulatory gestures has a wide spectrum of applications, notably in speech production and recognition. Sets of phonemes, as well as their articulation, are language-specific; however, existing MRI databases mostly include English speakers. In our present work, we introduce a dataset acquired with MRI from 10 healthy native French speakers. A corpus...
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Welcome to our interactive International Phonetic Association (IPA) chart website! Clicking on the IPA symbols on our charts will allow you to listen to their sounds and see vocal-organ movements imaged with ultrasound, MRI, or in animated form. To find out more about how our IPA charts were made, click on the buttons on the left-hand side of this page. The website contains two main...
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This is a corpus of articulatory data of different forms (EMA, MRI, video, 3D scans of upper/lower jaw, audio etc.) acquired from one male British English speaker.
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The USC Speech and Vocal Tract Morphology MRI Database consists of real-time magnetic resonance images of dynamic vocal tract shaping during read and spontaneous speech with concurrently recorded denoised audio, and 3D volumetric MRI of vocal tract shapes during vowels and continuant consonants sustained for 7 seconds, from 17 speakers.
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USC-EMO-MRI is an emotional speech production database which includes real-time magnetic resonance imaging data with synchronized speech audio from five male and five female actors, each producing a passage and a set of sentences in multiple repetitions, while enacting four different target emotions (neutral, happy, angry, sad). The database includes emotion quality evaluation from at least...
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USC-TIMIT is a database of speech production data under ongoing development, which currently includes real-time magnetic resonance imaging data from five male and five female speakers of American English, and electromagnetic articulography data from four of these speakers. The two modalities were recorded in two independent sessions while the subjects produced the same 460 sentence corpus. In...
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We have been collecting real-time MRI data from phoneticians producing the sounds of the International Phonetic Alphabet, together with standard sentences and texts. You may access the collected data by clicking on the pictures below.
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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...
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