Daniel Michelsanti

According to our database, Daniel Michelsanti authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds.

Georg Ørnskov Rønsch, Iván López-Espejo, Daniel Michelsanti, Y. Xie, Petar Popovski, Zheng-Hua Tan

Int. J. Comput. Integr. Manuf., April, 2024

2023

Speech inpainting: Context-based speech synthesis guided by video.

Juan F. Montesinos, Daniel Michelsanti, Gloria Haro, Zheng-Hua Tan, Jesper Jensen

CoRR, 2023

A Vision-Assisted Hearing Aid System Based on Deep Learning.

Daniel Michelsanti, Zheng-Hua Tan, Sergi Rotger-Griful, Jesper Jensen

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation.

Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices.

Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti, Zheng-Hua Tan, Petar Popovski

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Audio-Visual Speech Inpainting with Deep Learning.

Giovanni Morrone, Daniel Michelsanti, Zheng-Hua Tan, Jesper Jensen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Vocoder-Based Speech Synthesis from Silent Videos.

Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen

Proceedings of the Interspeech 2020, 2020

2019

Deep-learning-based audio-visual speech enhancement in presence of Lombard effect.

Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen

Speech Commun., 2019

On Training Targets and Objective Functions for Deep-learning-based Audio-visual Speech Enhancement.

Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen

Proceedings of the IEEE International Conference on Acoustics, 2019

Effects of Lombard Reflex on the Performance of Deep-learning-based Audio-visual Speech Enhancement Systems.

Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Fast Fingerprint Classification with Deep Neural Networks.

Daniel Michelsanti, Andreea-Daniela Ene, Yanis Guichi, Rares Stef, Kamal Nasrollahi, Thomas B. Moeslund

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification.

Daniel Michelsanti, Zheng-Hua Tan

Proceedings of the Interspeech 2017, 2017

2016

Pyramid Algorithm Framework for Real-Time Image Effects in Game Engines.

Adrià Arbués Sangüesa, Andreea-Daniela Ene, Nicolai Krogh Jørgensen, Christian Aagaard Larsen, Daniel Michelsanti, Martin Kraus

Proceedings of the Interactivity, Game Creation, Design, Learning, and Innovation, 2016