Anderson R. Avila
Orcid: 0000-0002-3088-5116
According to our database1,
Anderson R. Avila
authored at least 28 papers
between 2014 and 2024.
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Bibliography
2024
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning.
CoRR, 2024
Backdoor Attacks to Deep Neural Networks: A Survey of the Literature, Challenges, and Future Research Directions.
IEEE Access, 2024
2023
On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild".
CoRR, 2023
VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks.
CoRR, 2023
CoRR, 2023
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications.
CoRR, 2023
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications.
CoRR, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting Under White-Box Adversarial Attacks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Robustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement.
CoRR, 2022
Proceedings of the Interspeech 2022, 2022
2021
Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild.
IEEE Trans. Affect. Comput., 2021
Automatic speaker verification from affective speech using Gaussian mixture model based estimation of neutral speech characteristics.
Speech Commun., 2021
On the use of blind channel response estimation and a residual neural network to detect physical access attacks to speaker verification systems.
Comput. Speech Lang., 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Non-intrusive speech quality prediction based on the blind estimation of clean speech and the i-vector framework.
Qual. User Exp., 2020
On the use of the i-vector speech representation for instrumental quality measurement.
Qual. User Exp., 2020
2019
Intrusive Quality Measurement of Noisy and Enhanced Speech based on i-Vector Similarity.
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
Proceedings of the Interspeech 2019, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Speech-Based Stress Classification based on Modulation Spectral Features and Convolutional Neural Networks.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems.
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Investigating Speech Enhancement and Perceptual Quality for Speech Emotion Recognition.
Proceedings of the Interspeech 2018, 2018
2017
Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks.
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017
2016
Performance comparison of intrusive and non-intrusive instrumental quality measures for enhanced speech.
Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016
2014
Improving the performance of far-field speaker verification using multi-condition training: the case of GMM-UBM and i-vector systems.
Proceedings of the INTERSPEECH 2014, 2014