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Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
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Can Social Robots Effectively Elicit Curiosity in STEM Topics from K-1 Students During Oral Assessments? ...
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An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production ...
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Abstract:
The best performance in Air-tissue boundary (ATB) segmentation of real-time Magnetic Resonance Imaging (rtMRI) videos in speech production is known to be achieved by a 3-dimensional convolutional neural network (3D-CNN) model. However, the evaluation of this model, as well as other ATB segmentation techniques reported in the literature, is done using Dynamic Time Warping (DTW) distance between the entire original and predicted contours. Such an evaluation measure may not capture local errors in the predicted contour. Careful analysis of predicted contours reveals errors in regions like the velum part of contour1 (ATB comprising of upper lip, hard palate, and velum) and tongue base section of contour2 (ATB covering jawline, lower lip, tongue base, and epiglottis), which are not captured in a global evaluation metric like DTW distance. In this work, we automatically detect such errors and propose a correction scheme for the same. We also propose two new evaluation metrics for ATB segmentation separately in ... : accepted for ICASSP 2022 ...
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Keyword:
Audio and Speech Processing eess.AS; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering
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URL: https://dx.doi.org/10.48550/arxiv.2203.06004 https://arxiv.org/abs/2203.06004
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Expression-preserving face frontalization improves visually assisted speech processing ...
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Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ...
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Multi Antenna Radar System for American Sign Language (ASL) Recognition Using Deep Learning ...
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Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors ...
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Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ...
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Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training ...
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Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition ...
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VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge ...
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Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks ...
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Code-Switching Text Augmentation for Multilingual Speech Processing ...
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Self-supervised Learning with Random-projection Quantizer for Speech Recognition ...
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