MIP: A New Hybrid Multi-Agent Architecture for the Coordination of a Robot Colony Activities. - Antonio Chella; Rosario Sorbello; Sabato Marco Siniscalchi; Salvatore Vitabile (ECAI, 2002)

Efficient Rapid Prototyping of Image and Video Processing Algorithms. - Salvatore Vitabile; Antonio Gentile; Sabato Marco Siniscalchi; Filippo Sorbello (DSD, 2004)

Neural Classification of HEP Experimental Data. - Salvatore Vitabile; Giovanni Pilato; Giorgio Vassallo; Sabato Marco Siniscalchi; Antonio Gentile; Filippo Sorbello (WIRN, 2004)

Efficient FPGA Implementation of a Knowledge-Based Automatic Speech Classifier. - Sabato Marco Siniscalchi; Fulvio Gennaro; Salvatore Vitabile; Antonio Gentile; Filippo Sorbello (ICESS, 2005)

Application of EalphaNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition. - Sabato Marco Siniscalchi; Jinyu Li 001; Giovanni Pilato; Giorgio Vassallo; Mark A. Clements; Antonio Gentile; Filippo Sorbello (WIRN/NAIS, 2005)

Noise Robust Aurora-2 Speech Recognition Employing a Codebook-Constrained Kalman Filter Preprocessor. - Venkatesh Krishnan; Sabato Marco Siniscalchi; David V. Anderson; Mark A. Clements (ICASSP (1), 2006)

A Study of Perceptron Mapping Capability to Design Speech Event Detectors. - Sabato Marco Siniscalchi; Mark A. Clements; Antonio Gentile; Giorgio Vassallo; Filippo Sorbello (ICASSP (5), 2006)

Embedded Knowledge-Based Speech Detectors for Real-Time Recognition Tasks. - Sabato Marco Siniscalchi; Fulvio Gennaro; Salvatore Andolina; Salvatore Vitabile; Antonio Gentile; Filippo Sorbello (ICPP Workshops, 2006)

A study on lattice rescoring with knowledge scores for automatic speech recognition. - Sabato Marco Siniscalchi; Jinyu Li 001; Chin-Hui Lee 001 (INTERSPEECH, 2006)

Riconoscimento del parlato basato su tecniche di soppressione del rumore o di integrazione della conoscenza articolatoria. - Sabato Marco Siniscalchi (2006)

Towards bottom-up continuous phone recognition. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (ASRU, 2007)

Approximate Test Risk Minimization Through Soft Margin Estimation. - Jinyu Li 001; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP (4), 2007)

High-Accuracy Phone Recognition By Combining High-Performance Lattice Generation and Knowledge Based Rescoring. - Sabato Marco Siniscalchi; Petr Schwarz; Chin-Hui Lee 001 (ICASSP (4), 2007)

Detection-based ASR in the automatic speech attribute transcription project. - Ilana Bromberg; Qian Qian; Jun Hou; Jinyu Li 001; Chengyuan Ma; Brett Matthews; Antonio Moreno-Daniel; Jeremy Morris; Sabato Marco Siniscalchi; Yu Tsao 001; Yu Wang 001 (INTERSPEECH, 2007)

Toward a detector-based universal phone recognizer. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (ICASSP, 2008)

Continuous phone recognition without target language training data. - Dau-Cheng Lyu; Sabato Marco Siniscalchi; Tae-Yoon Kim; Chin-Hui Lee 001 (INTERSPEECH, 2008)

A penalized logistic regression approach to detection based phone classification. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (INTERSPEECH, 2008)

A phonetic feature based lattice rescoring approach to LVCSR. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (ICASSP, 2009)

Exploring universal attribute characterization of spoken languages for spoken language recognition. - Sabato Marco Siniscalchi; Jeremy Reed; Torbjørn Svendsen; Chin-Hui Lee 001 (INTERSPEECH, 2009)

Minimum Classification Error Training to Improve Isolated Chord Recognition. - Jeremy Reed; Yushi Ueda; Sabato Marco Siniscalchi; Yuuki Uchiyama; Shigeki Sagayama; Chin-Hui Lee 001 (ISMIR, 2009)

A study on integrating acoustic-phonetic information into lattice rescoring for automatic speech recognition. - Sabato Marco Siniscalchi; Chin-Hui Lee 001 (Speech Commun., 2009)

Experimental studies on continuous speech recognition using neural architectures with "adaptive" hidden activation functions. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Filippo Sorbello; Chin-Hui Lee 001 (ICASSP, 2010)

Exploiting context-dependency and acoustic resolution of universal speech attribute models in spoken language recognition. - Sabato Marco Siniscalchi; Jeremy Reed; Torbjørn Svendsen; Chin-Hui Lee 001 (INTERSPEECH, 2010)

A survey on recent progress in the ASAT/SIRKUS paradigm. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (ISCSLP, 2010)

Penalized Logistic Regression With HMM Log-Likelihood Regressors for Speech Recognition. - Øystein Birkenes; Tomoko Matsui; Kunio Tanabe; Sabato Marco Siniscalchi; Tor André Myrvoll; Magne Hallstein Johnsen (IEEE Trans. Speech Audio Process., 2010)

Bootstrapping a spoken language identification system using unsupervised integrated sensing and processing decision trees. - Shuai Huang; Damianos G. Karakos; Glen A. Coppersmith; Kenneth Ward Church; Sabato Marco Siniscalchi (ASRU, 2011)

A Bottom-Up Stepwise Knowledge-Integration Approach to Large Vocabulary Continuous Speech Recognition Using Weighted Finite State Machines. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (INTERSPEECH, 2011)

Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition. - Dong Yu 001; Sabato Marco Siniscalchi; Li Deng 001; Chin-Hui Lee 001 (ICASSP, 2012)

Consumer-level multimedia event detection through unsupervised audio signal modeling. - Byungki Byun; Ilseo Kim; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2012)

Hermitian based Hidden Activation Functions for Adaptation of Hybrid HMM/ANN Models. - Sabato Marco Siniscalchi; Jinyu Li 001; Chin-Hui Lee 001 (INTERSPEECH, 2012)

A study on cross-language knowledge integration in Mandarin LVCSR. - Chen-Yu Chiang; Sabato Marco Siniscalchi; Yih-Ru Wang; Sin-Horng Chen; Chin-Hui Lee 001 (ISCSLP, 2012)

A new confidence measure combining Hidden Markov Models and Artificial Neural Networks of phonemes for effective keyword spotting. - Su Jun Leow; Tze Siong Lau; Alvina Goh; Han Meng Peh; Teck Khim Ng; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ISCSLP, 2012)

Combining speech attribute detection and penalized logistic regression for phoneme recognition. - Sabato Marco Siniscalchi (Neurocomputing, 2012)

Experiments on Cross-Language Attribute Detection and Phone Recognition With Minimal Target-Specific Training Data. - Sabato Marco Siniscalchi; Dau-Cheng Lyu; Torbjørn Svendsen; Chin-Hui Lee 001 (IEEE Trans. Speech Audio Process., 2012)

An experimental study on structural-MAP approaches to implementing very large vocabulary speech recognition systems for real-world tasks. - I-Fan Chen; Sabato Marco Siniscalchi; Seokyong Moon; Daejin Shin; Myoung-Wan Koo; Minhwa Chung; Chin-Hui Lee 001 (APSIPA, 2013)

Knowledge integration for improving performance in LVCSR. - Chen-Yu Chiang; Sabato Marco Siniscalchi; Sin-Horng Chen; Chin-Hui Lee 001 (INTERSPEECH, 2013)

Universal attribute characterization of spoken languages for automatic spoken language recognition. - Sabato Marco Siniscalchi; Jeremy Reed; Torbjørn Svendsen; Chin-Hui Lee 001 (Comput. Speech Lang., 2013)

Model-based margin estimation for hidden Markov model learning and generalisation. - Sabato Marco Siniscalchi; Jinyu Li 001; Chin-Hui Lee 001 (IET Signal Process., 2013)

Exploiting deep neural networks for detection-based speech recognition. - Sabato Marco Siniscalchi; Dong Yu 001; Li Deng 001; Chin-Hui Lee 001 (Neurocomputing, 2013)

An Information-Extraction Approach to Speech Processing: Analysis, Detection, Verification, and Recognition. - Chin-Hui Lee 001; Sabato Marco Siniscalchi (Proc. IEEE, 2013)

Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model. - Sabato Marco Siniscalchi; Dong Yu 001; Li Deng 001; Chin-Hui Lee 001 (IEEE Signal Process. Lett., 2013)

Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems. - Sabato Marco Siniscalchi; Jinyu Li 001; Chin-Hui Lee 001 (IEEE Trans. Speech Audio Process., 2013)

A Bottom-Up Modular Search Approach to Large Vocabulary Continuous Speech Recognition. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (IEEE Trans. Speech Audio Process., 2013)

Introducing attribute features to foreign accent recognition. - Hamid Behravan; Ville Hautamäki; Sabato Marco Siniscalchi; Tomi Kinnunen; Chin-Hui Lee 001 (ICASSP, 2014)

Attribute based lattice rescoring in spontaneous speech recognition. - I-Fan Chen; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2014)

Dialect levelling in Finnish: a universal speech attribute approach. - Hamid Behravan; Ville Hautamäki; Sabato Marco Siniscalchi; Elie Khoury 001; Tommi Kurki; Tomi Kinnunen; Chin-Hui Lee 001 (INTERSPEECH, 2014)

Feature space maximum a posteriori linear regression for adaptation of deep neural networks. - Zhen Huang 001; Jinyu Li 001; Sabato Marco Siniscalchi; I-Fan Chen; Chao Weng; Chin-Hui Lee 001 (INTERSPEECH, 2014)

An artificial neural network approach to automatic speech processing. - Sabato Marco Siniscalchi; Torbjørn Svendsen; Chin-Hui Lee 001 (Neurocomputing, 2014)

Boosting universal speech attributes classification with deep neural network for foreign accent characterization. - Ville Hautamäki; Sabato Marco Siniscalchi; Hamid Behravan; Valerio Mario Salerno; Ivan Kukanov (INTERSPEECH, 2015)

Rapid adaptation for deep neural networks through multi-task learning. - Zhen Huang 001; Jinyu Li 001; Sabato Marco Siniscalchi; I-Fan Chen; Ji Wu 002; Chin-Hui Lee 001 (INTERSPEECH, 2015)

Maximum a posteriori adaptation of network parameters in deep models. - Zhen Huang 001; Sabato Marco Siniscalchi; I-Fan Chen; Jinyu Li 001; Jiadong Wu; Chin-Hui Lee 001 (INTERSPEECH, 2015)

Maximum a Posteriori Adaptation of Network Parameters in Deep Models. - Zhen Huang 001; Sabato Marco Siniscalchi; I-Fan Chen; Jiadong Wu; Chin-Hui Lee 001 (CoRR, 2015)

Towards a direct Bayesian adaptation framework for deep models. - Zhen Huang 001; Sabato Marco Siniscalchi; I-Fan Chen; Chin-Hui Lee 001 (APSIPA, 2016)

Using tone-based extended recognition network to detect non-native Mandarin tone mispronunciations. - Wei Li 119; Sabato Marco Siniscalchi; Nancy F. Chen; Chin-Hui Lee 001 (APSIPA, 2016)

Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling. - Wei Li 119; Sabato Marco Siniscalchi; Nancy F. Chen; Chin-Hui Lee 001 (ICASSP, 2016)

Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees. - Wei Li 119; Kehuang Li; Sabato Marco Siniscalchi; Nancy F. Chen; Chin-Hui Lee 001 (INTERSPEECH, 2016)

Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection. - Ivan Kukanov; Ville Hautamäki; Sabato Marco Siniscalchi; Kehuang Li (SLT, 2016)

A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition. - Zhen Huang 001; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (Neurocomputing, 2016)

i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition. - Hamid Behravan; Ville Hautamäki; Sabato Marco Siniscalchi; Tomi Kinnunen; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge. - Bo Wu 011; Kehuang Li; Zhen Huang 001; Sabato Marco Siniscalchi; Minglei Yang 001; Chin-Hui Lee 001 (HSCMA, 2017)

A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement. - Sicheng Wang 004; Kehuang Li; Zhen Huang 001; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2017)

Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition. - Fengpei Ge; Kehuang Li; Bo Wu 011; Sabato Marco Siniscalchi; Yonghong Yan 002; Chin-Hui Lee 001 (INTERSPEECH, 2017)

Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models. - Wei Li 119; Nancy F. Chen; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2017)

Experimental Study on Extreme Learning Machine Applications for Speech Enhancement. - Tassadaq Hussain; Sabato Marco Siniscalchi; Chi-Chun Lee; Syu-Siang Wang; Yu Tsao 001; Wen-Hung Liao (IEEE Access, 2017)

A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation. - Bo Wu 011; Minglei Yang 001; Kehuang Li; Zhen Huang 001; Sabato Marco Siniscalchi; Tong Wang; Chin-Hui Lee 001 (EURASIP J. Adv. Signal Process., 2017)

An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition. - Bo Wu 011; Kehuang Li; Fengpei Ge; Zhen Huang 001; Minglei Yang 001; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (IEEE J. Sel. Top. Signal Process., 2017)

Hierarchical Bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation. - Zhen Huang 001; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (Pattern Recognit. Lett., 2017)

Bayesian Unsupervised Batch and Online Speaker Adaptation of Activation Function Parameters in Deep Models for Automatic Speech Recognition. - Zhen Huang 001; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions. - Sabato Marco Siniscalchi; Valerio Mario Salerno (IEEE Trans. Neural Networks Learn. Syst., 2017)

Improving Mandarin Tone Mispronunciation Detection for Non-Native Learners with Soft-Target Tone Labels and BLSTM-Based Deep Models. - Wei Li 119; Nancy F. Chen; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2018)

Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features Using Extended Recognition Networks. - Ju Lin; Wei Li 119; Yingming Gao; Yanlu Xie; Nancy F. Chen; Sabato Marco Siniscalchi; Jinsong Zhang 001; Chin-Hui Lee 001 (J. Signal Process. Syst., 2018)

Compressed Multimodal Hierarchical Extreme Learning Machine for Speech Enhancement. - Tassadaq Hussain; Yu Tsao 001; Hsin-Min Wang; Jia-Ching Wang; Sabato Marco Siniscalchi; Wen-Hung Liao (APSIPA, 2019)

Audio-Visual Speech Enhancement using Hierarchical Extreme Learning Machine. - Tassadaq Hussain; Yu Tsao 001; Hsin-Min Wang; Jia-Ching Wang; Sabato Marco Siniscalchi; Wen-Hung Liao (EUSIPCO, 2019)

Exploring Retraining-free Speech Recognition for Intra-sentential Code-switching. - Zhen Huang 001; Xiaodan Zhuang; Daben Liu; Xiaoqiang Xiao; Yuchen Zhang; Sabato Marco Siniscalchi (ICASSP, 2019)

Improving Audio-visual Speech Recognition Performance with Cross-modal Student-teacher Training. - Wei Li 119; Sicheng Wang 004; Ming Lei; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2019)

A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion. - Abdolreza Sabzi Shahrebabaki; Negar Olfati; Ali Shariq Imran; Sabato Marco Siniscalchi; Torbjørn Svendsen (INTERSPEECH, 2019)

Bone-Conducted Speech Enhancement Using Hierarchical Extreme Learning Machine. - Tassadaq Hussain; Yu Tsao 001; Sabato Marco Siniscalchi; Jia-Ching Wang; Hsin-Min Wang; Wen-Hung Liao (IWSDS, 2019)

Improving Mispronunciation Detection of Mandarin Tones for Non-Native Learners With Soft-Target Tone Labels and BLSTM-Based Deep Tone Models. - Wei Li 119; Nancy F. Chen; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement. - Jun Qi 002; Jun Du 002; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression. - Jun Qi 002; Xiaoli Ma; Chin-Hui Lee 001; Jun Du 002; Sabato Marco Siniscalchi (CISS, 2020)

Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. - Jun Qi 002; Hu Hu; Yannan Wang; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2020)

A Cross-Task Transfer Learning Approach to Adapting Deep Speech Enhancement Models to Unseen Background Noise Using Paired Senone Classifiers. - Sicheng Wang 004; Wei Li 119; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2020)

An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances. - Hu Hu; Sabato Marco Siniscalchi; Yannan Wang; Xue Bai; Jun Du 002; Chin-Hui Lee 001 (INTERSPEECH, 2020)

Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification. - Hu Hu; Sabato Marco Siniscalchi; Yannan Wang; Chin-Hui Lee 001 (INTERSPEECH, 2020)

Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. - Jun Qi 002; Hu Hu; Yannan Wang; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2020)

Transfer Learning of Articulatory Information Through Phone Information. - Abdolreza Sabzi Shahrebabaki; Negar Olfati; Sabato Marco Siniscalchi; Giampiero Salvi; Torbjørn Svendsen (INTERSPEECH, 2020)

Sequence-to-Sequence Articulatory Inversion Through Time Convolution of Sub-Band Frequency Signals. - Abdolreza Sabzi Shahrebabaki; Sabato Marco Siniscalchi; Giampiero Salvi; Torbjørn Svendsen (INTERSPEECH, 2020)

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (CoRR, 2020)

On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression. - Jun Qi 002; Jun Du 002; Sabato Marco Siniscalchi; Xiaoli Ma; Chin-Hui Lee 001 (IEEE Signal Process. Lett., 2020)

Ensemble Hierarchical Extreme Learning Machine for Speech Dereverberation. - Tassadaq Hussain; Sabato Marco Siniscalchi; Hsiao-Lan Sharon Wang; Yu Tsao 001; Valerio Mario Salerno; Wen-Hung Liao (IEEE Trans. Cogn. Dev. Syst., 2020)

Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language Recognition. - Ivan Kukanov; Trung Ngo Trong; Ville Hautamäki; Sabato Marco Siniscalchi; Valerio Mario Salerno; Kong Aik Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression. - Jun Qi 002; Jun Du 002; Sabato Marco Siniscalchi; Xiaoli Ma; Chin-Hui Lee 001 (IEEE Trans. Signal Process., 2020)

A Two-Stage Approach to Device-Robust Acoustic Scene Classification. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (ICASSP, 2021)

A Two-Stage Deep Modeling Approach to Articulatory Inversion. - Abdolreza Sabzi Shahrebabaki; Negar Olfati; Ali Shariq Imran; Magne Hallstein Johnsen; Sabato Marco Siniscalchi; Torbjørn Svendsen (ICASSP, 2021)

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. - Chao-Han Huck Yang; Jun Qi 002; Samuel Yen-Chi Chen; Pin-Yu Chen; Sabato Marco Siniscalchi; Xiaoli Ma; Chin-Hui Lee 001 (ICASSP, 2021)

Raw Speech-to-Articulatory Inversion by Temporal Filtering and Decimation. - Abdolreza Sabzi Shahrebabaki; Sabato Marco Siniscalchi; Torbjørn Svendsen (Interspeech, 2021)

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. - Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (Interspeech, 2021)

A DNN Based Speech Enhancement Approach to Noise Robust Acoustic-to-Articulatory Inversion. - Abdolreza Sabzi Shahrebabaki; Sabato Marco Siniscalchi; Giampiero Salvi; Torbjørn Svendsen (ISCAS, 2021)

A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. - Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Qing Wang 008; Yuyang Wang; Xianjun Xia; Yuanjun Zhao; Yuzhong Wu; Yannan Wang; Jun Du 002; Chin-Hui Lee 001 (CoRR, 2021)

A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming. - Hao Yen; Pin-Jui Ku; Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Pin-Yu Chen; Yu Tsao 001 (CoRR, 2021)

A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison. - Vincenzo Conti; Leonardo Rundo; Carmelo Militello; Valerio Mario Salerno; Salvatore Vitabile; Sabato Marco Siniscalchi (IET Biom., 2021)

Vector-to-Vector Regression via Distributional Loss for Speech Enhancement. - Sabato Marco Siniscalchi (IEEE Signal Process. Lett., 2021)

Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation. - Mohammad Adiban; Kalin Stefanov; Sabato Marco Siniscalchi; Giampiero Salvi (BMVC, 2022)

The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results. - Hang Chen 001; Hengshun Zhou; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Shinji Watanabe 001; Sabato Marco Siniscalchi; Odette Scharenborg; Diyuan Liu; Bao-Cai Yin; Jia Pan; Jianqing Gao; et al. (ICASSP, 2022)

A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. - Hu Hu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Chin-Hui Lee 001 (ICASSP, 2022)

Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis. - Hang Chen 001; Jun Du 002; Yusheng Dai; Chin-Hui Lee 001; Sabato Marco Siniscalchi; Shinji Watanabe 001; Odette Scharenborg; Jingdong Chen; Baocai Yin; Jia Pan (INTERSPEECH, 2022)

Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis. - Hengshun Zhou; Jun Du 002; Gongzhen Zou; Zhaoxu Nian; Chin-Hui Lee 001; Sabato Marco Siniscalchi; Shinji Watanabe 001; Odette Scharenborg; Jingdong Chen; Shifu Xiong; Jianqing Gao (INTERSPEECH, 2022)

A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification. - Qing Wang 008; Jun Du 002; Siyuan Zheng; Yunqing Li; Yajian Wang; Yuzhong Wu; Hu Hu; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Yannan Wang; Chin-Hui Lee 001 (ISCSLP, 2022)

An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. - Chao-Han Huck Yang; Jun Qi 002; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ISCSLP, 2022)

An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. - Chao-Han Huck Yang; I-Fan Chen; Andreas Stolcke; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (SLT, 2022)

Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models. - Abdolreza Sabzi Shahrebabaki; Giampiero Salvi; Torbjørn Svendsen; Sabato Marco Siniscalchi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge. - Hang Chen 001; Shilong Wu; Yusheng Dai; Zhe Wang; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Shinji Watanabe 001; Sabato Marco Siniscalchi; Odette Scharenborg; Diyuan Liu; Bao-Cai Yin; et al. (ICASSP, 2023)

The Multimodal Information Based Speech Processing (Misp) 2022 Challenge: Audio-Visual Diarization And Recognition. - Zhe Wang; Shilong Wu; Hang Chen 001; Mao-Kui He; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Shinji Watanabe 001; Sabato Marco Siniscalchi; Odette Scharenborg; Diyuan Liu; Baocai Yin; et al. (ICASSP, 2023)

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Tara N. Sainath; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2023)

Differentially Private Adapters for Parameter Efficient Acoustic Modeling. - Chun-Wei Ho; Chao-Han Huck Yang; Sabato Marco Siniscalchi (INTERSPEECH, 2023)

A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. - Pin-Jui Ku; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2023)

Description and analysis of the KPT system for NIST Language Recognition Evaluation 2022. - Salvatore Sarni; Sandro Cumani; Sabato Marco Siniscalchi; Andrea Bottino (INTERSPEECH, 2023)

Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition. - Hao Yen; Pin-Jui Ku; Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Pin-Yu Chen; Yu Tsao 001 (INTERSPEECH, 2023)

Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. - Tsun-An Hsieh; Chao-Han Huck Yang; Pin-Yu Chen; Sabato Marco Siniscalchi; Yu Tsao 001 (MLSP, 2023)

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. - Chen Chen 075; Yuchen Hu; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Pin-Yu Chen; Chng Eng Siong (NeurIPS, 2023)

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. - Shilong Wu; Chenxi Wang; Hang Chen 001; Yusheng Dai; Chenyue Zhang; Ruoyu Wang 029; Hongbo Lan; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Shinji Watanabe 001; Sabato Marco Siniscalchi; et al. (CoRR, 2023)

Generative error correction for code-switching speech recognition using large language models. - Chen Chen 075; Yuchen Hu; Chao-Han Huck Yang; Hexin Liu; Sabato Marco Siniscalchi; Eng Siong Chng (CoRR, 2023)

A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity. - Mohammad Adiban; Sabato Marco Siniscalchi; Giampiero Salvi (Neurocomputing, 2023)

Speech Analysis of Language Varieties in Italy. - Moreno La Quatra; Alkis Koudounas; Elena Baralis; Sabato Marco Siniscalchi (LREC/COLING, 2024)

Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge. - Hang Chen 001; Shilong Wu; Chenxi Wang; Jun Du 002; Chin-Hui Lee 001; Sabato Marco Siniscalchi; Shinji Watanabe 001; Jingdong Chen; Odette Scharenborg; Zhong-Qiu Wang 001; Bao-Cai Yin; Jia Pan (ICASSP Workshops, 2024)

Benchmarking Representations for Speech, Music, and Acoustic Events. - Moreno La Quatra; Alkis Koudounas; Lorenzo Vaiani; Elena Baralis; Luca Cagliero; Paolo Garza; Sabato Marco Siniscalchi (ICASSP Workshops, 2024)

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. - Shilong Wu; Chenxi Wang; Hang Chen 001; Yusheng Dai; Chenyue Zhang; Ruoyu Wang 029; Hongbo Lan; Jun Du 002; Chin-Hui Lee 001; Jingdong Chen; Sabato Marco Siniscalchi; Odette Scharenborg; et al. (ICASSP, 2024)

Boosting End-to-End Multilingual Phoneme Recognition Through Exploiting Universal Speech Attributes Constraints. - Hao Yen; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2024)

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. - Chen Chen 075; Ruizhe Li 001; Yuchen Hu; Sabato Marco Siniscalchi; Pin-Yu Chen; Engsiong Chng; Chao-Han Huck Yang (ICLR, 2024)

Summary on the Chat-Scenario Chinese Lipreading (ChatCLR) Challenge. - Chen-Yue Zhang; Hang Chen 001; Jun Du 002; Sabato Marco Siniscalchi; Ya Jiang; Chin-Hui Lee 001 (ICME Workshops, 2024)

Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions. - Moreno La Quatra; Maria Francesca Turco; Torbjørn Svendsen; Giampiero Salvi; Juan Rafael Orozco-Arroyave; Sabato Marco Siniscalchi (INTERSPEECH, 2024)

Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition. - Hao Yen; Pin-Jui Ku; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2024)

Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-Based Speech Enhancement. - Muhammad Salman Khan; Moreno La Quatra; Kuo-Hsuan Hung; Szu-Wei Fu; Sabato Marco Siniscalchi; Yu Tsao 001 (MMSP, 2024)

An Investigation of Incorporating Mamba For Speech Enhancement. - Rong Chao; Wen-Huang Cheng; Moreno La Quatra; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Szu-Wei Fu; Yu Tsao 001 (SLT, 2024)

FlanEC: Exploring Flan-T5 for Post-ASR Error Correction. - Moreno La Quatra; Valerio Mario Salerno; Yu Tsao 001; Sabato Marco Siniscalchi (SLT, 2024)

Large Language Model Based Generative Error Correction: A Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition. - Chao-Han Huck Yang; Taejin Park; Yuan Gong 001; Yuanchao Li; Zhehuai Chen; Yen-Ting Lin; Chen Chen 075; Yuchen Hu; Kunal Dhawan; Piotr Zelasko; Chao Zhang 031; Yun-Nung Chen; et al. (SLT, 2024)

Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori. - Hu Hu; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (CoRR, 2024)

How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Sabato Marco Siniscalchi (Comput. Biol. Medicine, 2024)

MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization. - HangChen HangChen; Chao-Han Huck Yang; Jia-Chen Gu; Sabato Marco Siniscalchi; Jun Du 002 (ACL (1), 2025)

voc2vec: A Foundation Model for Non-Verbal Vocalization. - Alkis Koudounas; Moreno La Quatra; Sabato Marco Siniscalchi; Elena Baralis (ICASSP, 2025)

An Explicit Consistency-Preserving Loss Function for Phase Reconstruction and Speech Enhancement. - Pin-Jui Ku; Chun-Wei Ho; Hao Yen; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2025)

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network. - Yu-Tung Liu; Kuan-Chen Wang; Rong Chao; Sabato Marco Siniscalchi; Ping-Cheng Yeh; Yu Tsao 001 (ICASSP, 2025)

Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from Speech. - Moreno La Quatra; Juan Rafael Orozco-Arroyave; Sabato Marco Siniscalchi (ICASSP, 2025)

A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models. - Ryandhimas E. Zezario; Sabato Marco Siniscalchi; Hsin-Min Wang; Yu Tsao 001 (ICASSP, 2025)

Synchronous analysis of abnormal acoustic and linguistic production in Parkinson's speech. - Daniel Escobar-Grisales; Cristian David Ríos-Urrego; Sabato Marco Siniscalchi; Adolfo M. García; Yamile Bocanegra; Leonardo Moreno; Elmar Nöth; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2025)

The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition. - Ming Gao; Shilong Wu; Hang Chen 001; Jun Du 002; Chin-Hui Lee 001; Shinji Watanabe 001; Jingdong Chen; Sabato Marco Siniscalchi; Odette Scharenborg (INTERSPEECH, 2025)

MVP: Multi-source Voice Pathology detection. - Alkis Koudounas; Moreno La Quatra; Gabriele Ciravegna; Marco Fantini; Erika Crosetti; Giovanni Succo; Tania Cerquitelli; Sabato Marco Siniscalchi; Elena Baralis (INTERSPEECH, 2025)

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding. - Alkis Koudounas; Moreno La Quatra; Eliana Pastor; Sabato Marco Siniscalchi; Elena Baralis (INTERSPEECH, 2025)

From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology. - Haoyang Li; Yuchen Hu; Chen Chen 075; Sabato Marco Siniscalchi; Songting Liu; Eng Siong Chng (INTERSPEECH, 2025)

Exploring Generative Error Correction for Dysarthric Speech Recognition. - Moreno La Quatra; Alkis Koudounas; Valerio Mario Salerno; Sabato Marco Siniscalchi (INTERSPEECH, 2025)

Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids. - Ryandhimas E. Zezario; Sabato Marco Siniscalchi; Fei Chen 011; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2025)

Using Cross-Attention for Conversational ASR over the Telephone. - Simen Dymbe; Sabato Marco Siniscalchi; Torbjørn Svendsen; Giampiero Salvi (TSD (1), 2025)

Foundation Models for Speech Enhancement Leveraging Consistency Constraints and Contrast Stretching. - Muhammad Salman Khan; Valerio Mario Salerno; Moreno La Quatra; Kuo-Hsuan Hung; Szu-Wei Fu; Yu Tsao 001; Sabato Marco Siniscalchi (IEEE Access, 2025)

Cross-attention among spectrum, waveform and SSL representations with bidirectional knowledge distillation for speech enhancement. - Hang Chen 001; Chenxi Wang; Qing Wang 008; Jun Du 002; Sabato Marco Siniscalchi; Genshun Wan; Jia Pan; Huijun Ding (Inf. Fusion, 2025)

Controllable Conformer for Speech Enhancement and Recognition. - Zilu Guo; Jun Du 002; Sabato Marco Siniscalchi; Jia Pan; Qingfeng Liu (IEEE Signal Process. Lett., 2025)

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction. - Mohammad Adiban; Kalin Stefanov; Sabato Marco Siniscalchi; Giampiero Salvi (IEEE Trans. Multim., 2025)

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer. - Hu Hu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Chin-Hui Lee 001 (CoRR, 2025)

Towards Robust Assessment of Pathological Voices via Combined Low-Level Descriptors and Foundation Model Representations. - Whenty Ariyanti; Kuan-Yu Chen 002; Sabato Marco Siniscalchi; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2025)

HPCNet: Hybrid Pixel and Contour Network for Audio-Visual Speech Enhancement With Low-Quality Video. - Hang Chen 001; Chen-Yue Zhang; Qing Wang 008; Jun Du 002; Sabato Marco Siniscalchi; Shifu Xiong; Genshun Wan (IEEE J. Sel. Top. Signal Process., 2025)

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation. - Jun Qi 002; Chen-Yu Liu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Min-Hsiu Hsieh (CoRR, 2025)

Aligning Generative Speech Enhancement with Human Preferences via Direct Preference Optimization. - Haoyang Li; Nana Hou; Yuchen Hu; Jixun Yao; Sabato Marco Siniscalchi; Eng Siong Chng (CoRR, 2025)

Lightweight Audio-Visual Wake Word Spotting With Diverse Acoustic Knowledge Distillation. - Ke-Wei Li; Hang Chen 001; Jun Du 002; Hengshun Zhou; Sabato Marco Siniscalchi; Shutong Niu; Shifu Xiong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Cross-Modal Knowledge Distillation with Multi-Level Data Augmentation for Low-Resource Audio-Visual Sound Event Localization and Detection. - Qing Wang 008; Ya Jiang; Hang Chen 001; Sabato Marco Siniscalchi; Jun Du 002; Jianqing Gao (CoRR, 2025)

TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models. - Tong Guan; Zijie Meng; Dianqi Li; Shiyu Wang; Chao-Han Huck Yang; Qingsong Wen; Zuozhu Liu; Sabato Marco Siniscalchi; Ming Jin; Shirui Pan (CoRR, 2025)

Hallucination Benchmark for Speech Foundation Models. - Alkis Koudounas; Moreno La Quatra; Manuel Giollo; Sabato Marco Siniscalchi; Elena Baralis (CoRR, 2025)