Combining acoustic features and medical data in deep learning networks for voice pathology classification
I Miliaresi, K Poutos, A Pikrakis - 2020 28th European Signal …, 2021 - ieeexplore.ieee.org
In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …
automatically classifying voice disorders. To this end, convolutional architectures combined …
[PDF][PDF] Combining acoustic features and medical data in deep learning networks for voice pathology classification
I Miliaresi, K Poutos, A Pikrakis - academia.edu
In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …
automatically classifying voice disorders. To this end, convolutional architectures combined …
[PDF][PDF] Combining acoustic features and medical data in deep learning networks for voice pathology classification
I Miliaresi, K Poutos, A Pikrakis - eurasip.org
In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …
automatically classifying voice disorders. To this end, convolutional architectures combined …
[PDF][PDF] Combining acoustic features and medical data in deep learning networks for voice pathology classification
I Miliaresi, K Poutos, A Pikrakis - new.eurasip.org
In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …
automatically classifying voice disorders. To this end, convolutional architectures combined …
[PDF][PDF] Combining acoustic features and medical data in deep learning networks for voice pathology classification
I Miliaresi, K Poutos, A Pikrakis - eurasip.org
In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …
automatically classifying voice disorders. To this end, convolutional architectures combined …
[PDF][PDF] Combining acoustic features and medical data in deep learning networks for voice pathology classification
I Miliaresi, K Poutos, A Pikrakis - eurasip.org
In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …
automatically classifying voice disorders. To this end, convolutional architectures combined …