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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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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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Abstract:
This paper investigates RF-based system for automatic American Sign Language (ASL) recognition. We consider radar for ASL by joint spatio-temporal preprocessing of radar returns using time frequency (TF) analysis and high-resolution receive beamforming. The additional degrees of freedom offered by joint temporal and spatial processing using a multiple antenna sensor can help to recognize ASL conversation between two or more individuals. This is performed by applying beamforming to collect spatial images in an attempt to resolve individuals communicating at the same time through hand and arm movements. The spatio-temporal images are fused and classified by a convolutional neural network (CNN) which is capable of discerning signs performed by different individuals even when the beamformer is unable to separate the respective signs completely. The focus group comprises individuals with varying expertise with sign language, and real time measurements at 77 GHz frequency are performed using Texas Instruments (TI) ... : arXiv admin note: substantial text overlap with arXiv:2104.00217 ...
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Keyword:
FOS Electrical engineering, electronic engineering, information engineering; Signal Processing eess.SP
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URL: https://arxiv.org/abs/2203.16624 https://dx.doi.org/10.48550/arxiv.2203.16624
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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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