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Sabato Marco Siniscalchi

Georgia Institute of Technology
Kore University of Enna
Norwegian University of Science and Technology

119

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1731

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Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models

2022 IEEE Transactions on Audio, Speech, and Language Processing
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A Two-Stage Deep Modeling Approach to Articulatory Inversion

2021 ICASSP | International Conference on Acoustics, Speech, and Signal Processing
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A Two-Stage Approach to Device-Robust Acoustic Scene Classification

2021 ICASSP | International Conference on Acoustics, Speech, and Signal Processing
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A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer.

2021 arXiv: Audio and Speech Processing
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PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification.

2021 arXiv: Sound
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A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming.

2021 arXiv: Audio and Speech Processing
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Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

2021 | IEEE International Conference on Acoustics,Speech and SP
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Vector-to-Vector Regression via Distributional Loss for Speech Enhancement

2021 IEEE Signal Processing Letters
- Sabato Marco Siniscalchi
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A multimodal retina‐iris biometric system using the Levenshtein distance for spatial feature comparison

2021 IET Biometrics
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Maximal Figure-of-Merit Framework to Detect Multi-label Phonetic Features for Spoken Language Recognition

2020 IEEE Transactions on Audio, Speech, and Language Processing
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