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Papers
Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders — Step 1: CNN Model-Based Phone Classification
INTERSPEECH 2020
Propose-and-Attend Single Shot Detector
WACV 2020
Identifying robust markers of Parkinson’s disease in typing behaviour using a CNN-LSTM network
CONLL 2020
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss
INTERSPEECH 2020
Can a CNN Automatically Learn the Significance of Minutiae Points for Fingerprint Matching?
WACV 2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
INTERSPEECH 2020
Neural Architecture Search for Keyword Spotting
INTERSPEECH 2020
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network
INTERSPEECH 2020