Presentation + Paper
3 April 2023 Synthesizing audio from tongue motion during speech using tagged MRI via transformer
Author Affiliations +
Abstract
Investigating the relationship between internal tissue point motion of the tongue and oropharyngeal muscle deformation measured from tagged MRI and intelligible speech can aid in advancing speech motor control theories and developing novel treatment methods for speech related-disorders. However, elucidating the relationship between these two sources of information is challenging, due in part to the disparity in data structure between spatiotemporal motion fields (i.e., 4D motion fields) and one-dimensional audio waveforms. In this work, we present an efficient encoder-decoder translation network for exploring the predictive information inherent in 4D motion fields via 2D spectrograms as a surrogate of the audio data. Specifically, our encoder is based on 3D convolutional spatial modeling and transformer-based temporal modeling. The extracted features are processed by an asymmetric 2D convolution decoder to generate spectrograms that correspond to 4D motion fields. Furthermore, we incorporate a generative adversarial training approach into our framework to further improve synthesis quality on our generated spectrograms. We experiment on 63 paired motion field sequences and speech waveforms, demonstrating that our framework enables the generation of clear audio waveforms from a sequence of motion fields. Thus, our framework has the potential to improve our understanding of the relationship between these two modalities and inform the development of treatments for speech disorders.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofeng Liu, Fangxu Xing, Jerry Prince, Maureen Stone, Georges El Fakhri, and Jonghye Woo "Synthesizing audio from tongue motion during speech using tagged MRI via transformer", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 1246410 (3 April 2023); https://doi.org/10.1117/12.2653345
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KEYWORDS
Transformers

Modeling

3D modeling

Magnetic resonance imaging

Tongue

Education and training

Deformation

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