274 citations · 649 across the 26 of their papers we have counts for
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eess.AS2021★ 2 cited
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Arya Aftab, Alireza Morsali, Shahrokh Ghaemmaghami +1
Detecting emotions directly from a speech signal plays an important role in effective human-computer interactions. Existing speech emotion recognition models require massive comput…
eess.AS2020★ 2 cited
On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network
Farnood Faraji, Yazid Attabi, Benoit Champagne +1
The advent of learning-based methods in speech enhancement has revived the need for robust and reliable training features that can compactly represent speech signals while preservi…