S. M. Siniscalchi

发表

Neural Classification of HEP Experimental Data

Giovanni Pilato, Giorgio Vassallo, Filippo Sorbello, 2004, WIRN.

Efficient rapid prototyping of image and video processing algorithms

Filippo Sorbello, Salvatore Vitabile, Antonio Gentile, 2004 .

Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition

Chin-Hui Lee, Dong Yu, Li Deng, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Rapid adaptation for deep neural networks through multi-task learning

Ji Wu, I-Fan Chen, Jinyu Li, 2015, INTERSPEECH.

Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems

S. M. Siniscalchi, Jinyu Li, Chin-Hui Lee, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition

Chin-Hui Lee, Zhen Huang, Sabato Marco Siniscalchi, 2016, Neurocomputing.

Architecture for parking management in smart cities

Sabato Marco Siniscalchi, S. M. Siniscalchi, R. Barone, 2014 .

High-Accuracy Phone Recognition By Combining High-Performance Lattice Generation and Knowledge Based Rescoring

Chin-Hui Lee, Sabato Marco Siniscalchi, Petr Schwarz, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model

Chin-Hui Lee, Dong Yu, Li Deng, 2013, IEEE Signal Processing Letters.

Application of E α Nets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition

S. M. Siniscalchi, Jinyu Li, M. Clements, 2006 .

A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge

Chin-Hui Lee, Zhen Huang, Sabato Marco Siniscalchi, 2017, 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA).

A MODEL ENSEMBLE APPROACH FOR AUDIO-VISUAL SCENE CLASSIFICATION Technical Report

S. M. Siniscalchi, Chin-Hui Lee, Jun Du, 2021 .

An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition

S. M. Siniscalchi, A. Stolcke, Chin-Hui Lee, 2022, ArXiv.

Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis

S. M. Siniscalchi, Chin-Hui Lee, Shinji Watanabe, 2022, INTERSPEECH.

An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition

S. M. Siniscalchi, A. Stolcke, Chin-Hui Lee, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification

S. M. Siniscalchi, Chin-Hui Lee, Jun Du, 2021, ArXiv.

Inference and Denoise: Causal Inference-based Neural Speech Enhancement

S. M. Siniscalchi, Tsun-An Hsieh, C. Yang, 2022, ArXiv.

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition

Tara N. Sainath, S. M. Siniscalchi, Bo Li, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation

S. M. Siniscalchi, G. Salvi, Kalin Stefanov, 2022, BMVC.

Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression

Chin-Hui Lee, Xiaoli Ma, Sabato Marco Siniscalchi, 2020, IEEE Transactions on Signal Processing.

A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement

Jun Du, Chin-Hui Lee, Sabato Marco Siniscalchi, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

An Information-Extraction Approach to Speech Processing: Analysis, Detection, Verification, and Recognition

Chin-Hui Lee, Sabato Marco Siniscalchi, S. M. Siniscalchi, 2013, Proceedings of the IEEE.

Attribute based lattice rescoring in spontaneous speech recognition

I-Fan Chen, Chin-Hui Lee, Sabato Marco Siniscalchi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Bottom-Up Modular Search Approach to Large Vocabulary Continuous Speech Recognition

Chin-Hui Lee, Torbjørn Svendsen, Sabato Marco Siniscalchi, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

An experimental study on structural-MAP approaches to implementing very large vocabulary speech recognition systems for real-world tasks

Myoung-Wan Koo, I-Fan Chen, Chin-Hui Lee, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.