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SABATO MARCO SINISCALCHI

Publications

Date Title Type Record
2024 Boosting End-to-End Multilingual Phoneme Recognition Through Exploiting Universal Speech Attributes Constraints Contributo in atti di convegno pubblicato in volume Go to
2024 The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction Contributo in atti di convegno pubblicato in volume Go to
2024 How word semantics and phonology affect handwriting of Alzheimer’s patients: A machine learning based analysis Articolo in rivista Go to
2024 Federated learning for privacy-preserving speech recognition Capitolo o Saggio Go to
2023 Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition Contributo in atti di convegno pubblicato in volume Go to
2023 Description and analysis of the KPT system for NIST Language Recognition Evaluation 2022 Contributo in atti di convegno pubblicato in volume Go to
2023 A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity Articolo in rivista Go to
2023 Cumulative Sum Analysis of Learning Curve Process for Vaginal Natural Orifice Transluminal Endoscopic Surgery Hysterectomy Articolo in rivista Go to
2023 Differentially Private Adapters for Parameter Efficient Acoustic Modeling Contributo in atti di convegno pubblicato in volume Go to
2023 Inference and Denoise: Causal Inference-Based Neural Speech Enhancement Contributo in atti di convegno pubblicato in volume Go to
2023 HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models Contributo in atti di convegno pubblicato in volume Go to
2023 Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge Contributo in atti di convegno pubblicato in volume Go to
2023 The Multimodal Information Based Speech Processing (Misp) 2022 Challenge: Audio-Visual Diarization And Recognition Contributo in atti di convegno pubblicato in volume Go to
2023 A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models Contributo in atti di convegno pubblicato in volume Go to
2022 A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer Contributo in atti di convegno pubblicato in volume Go to
2022 Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation Contributo in atti di convegno pubblicato in volume Go to
2022 An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition Contributo in atti di convegno pubblicato in volume Go to
2022 Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models Articolo in rivista Go to
2022 AN EXPERIMENTAL STUDY ON PRIVATE AGGREGATION OF TEACHER ENSEMBLE LEARNING FOR END-TO-END SPEECH RECOGNITION Contributo in atti di convegno pubblicato in volume Go to
2022 Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis Contributo in atti di convegno pubblicato in volume Go to
2022 The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results Contributo in atti di convegno pubblicato in volume Go to
2022 Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis Contributo in atti di convegno pubblicato in volume Go to
2021 Raw Speech-to-Articulatory Inversion by Temporal Filtering and Decimation Contributo in atti di convegno pubblicato in volume Go to
2021 A DNN Based Speech Enhancement Approach to Noise Robust Acoustic-to-Articulatory Inversion Contributo in atti di convegno pubblicato in volume Go to
2021 A Two-Stage Deep Modeling Approach to Articulatory Inversion Contributo in atti di convegno pubblicato in volume Go to
2021 Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition Contributo in atti di convegno pubblicato in volume Go to
2021 Vector-to-Vector Regression via Distributional Loss for Speech Enhancement Articolo in rivista Go to
2021 Bone-Conducted Speech Enhancement Using Hierarchical Extreme Learning Machine Capitolo o Saggio Go to
2021 PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification Contributo in atti di convegno pubblicato in volume Go to
2021 A Two-Stage Approach to Device-Robust Acoustic Scene Classification Contributo in atti di convegno pubblicato in volume Go to
2020 Maximal Figure-of-Merit Framework to Detect Multi-label Phonetic Features for Spoken Language Recognition Articolo in rivista Go to
2020 A Cross-Task Transfer Learning Approach to Adapting Deep Speech Enhancement Models to Unseen Background Noise Using Paired Senone Classifiers Contributo in atti di convegno pubblicato in volume Go to
2020 Ensemble Hierarchical Extreme Learning Machine for Speech Dereverberation Articolo in rivista Go to
2020 Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification Contributo in atti di convegno pubblicato in volume Go to
2020 On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression Articolo in rivista Go to
2020 Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network Contributo in atti di convegno pubblicato in volume Go to
2020 Transfer Learning of Articulatory Information Through Phone Information Contributo in atti di convegno pubblicato in volume Go to
2020 An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances Contributo in atti di convegno pubblicato in volume Go to
2020 Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression Contributo in atti di convegno pubblicato in volume Go to
2020 Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement Contributo in atti di convegno pubblicato in volume Go to
2020 Sequence-to-Sequence Articulatory Inversion Through Time Convolution of Sub-Band Frequency Signals Contributo in atti di convegno pubblicato in volume Go to
2020 Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression Articolo in rivista Go to
2019 A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion Contributo in atti di convegno pubblicato in volume Go to
2019 Compressed multimodal hierarchical extreme learning machine for speech enhancement Contributo in atti di convegno pubblicato in volume Go to
2019 Improving Mispronunciation Detection of Mandarin Tones for Non-Native Learners With Soft-Target Tone Labels and BLSTM-Based Deep Tone Models Articolo in rivista Go to
2019 A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement Articolo in rivista Go to
2019 Improving Audio-visual Speech Recognition Performance with Cross-modal Student-teacher Training Contributo in atti di convegno pubblicato in volume Go to
2019 Audio-Visual Speech Enhancement using Hierarchical Extreme Learning Machine Contributo in atti di convegno pubblicato in volume Go to
2017 An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition Articolo in rivista Go to
2012 Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition Contributo in atti di convegno pubblicato in volume Go to
2006 Application of EalphaNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition Capitolo o Saggio Go to
2006 A Study of Perceptron Mapping Capability to Design Speech Event Detectors eedings Go to
2006 Embedded Knowledge-based Speech Detectors for Real-Time Recognition Tasks eedings Go to
2006 A study on lattice rescoring with knowledge scores for automatic speech recognition Contributo in atti di convegno pubblicato in volume Go to
2005 Application of Enets to Feature Recognition of Articulation Manner in Knowledge-based Automatic Speech Recognition Capitolo o Saggio Go to
2005 Neural Classification of HEP Experimental Data eedings Go to
2005 Efficient FPGA Implementation of a Knowledge-based Automatic Speech Classifier Capitolo o Saggio Go to
2004 Efficient Rapid Prototyping of Image and Video Processing Algorithms eedings Go to