Improved Acoustic-to-Articulatory Inversion Using Representations from Pretrained Self-Supervised Learning Models
Author:
Affiliation:
1. Indian Institute of Science (IISc),Electrical Engineering Department,Bangalore,India,560012
2. Indian Institute of Technology,Robert Bosch Centre for Data Science and AI,Madras,India,600036
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094703.pdf?arnumber=10094703
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1. Attention is all you need;vaswani;Advances in neural information processing systems,2017
2. Representation Learning Using Convolution Neural Network for Acoustic-to-articulatory Inversion
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4. Estimating Articulatory Movements in Speech Production with Transformer Networks
5. 3d electromagnetic articulograph,0
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1. Acoustic-to-Articulatory Inversion for Dysarthric Speech: are Pre-Trained Self-Supervised Representations Favorable?;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
2. An Audio-Textual Diffusion Model for Converting Speech Signals into Ultrasound Tongue Imaging Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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