J. F. Santos

发表

Yoshua Bengio, Aaron C. Courville, Kundan Kumar, 2017, ICLR.

Sandeep Subramanian, Yoshua Bengio, Chiheb Trabelsi, 2017, ICLR.

Folk music style modelling by recurrent neural networks with long short term memory units

Bob L. Sturm, J. F. Santos, I. Korshunova, 2015 .

A non-intrusive objective speech intelligibility metric tailored for cochlear implant users in complex listening environments

J. F. Santos, 2013 .

Materials and Methods

Anderson R. Avila, J. F. Santos, Rachel Bou-Serhal, 1992 .

Objective speech quality estimation of in-ear microphone speech

Jérémie Voix, Tiago H. Falk, João Felipe Santos, 2016 .

Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows

Kevin J. Shih, Bryan Catanzaro, Rohan Badlani, 2022, ArXiv.

Model Fusion for Multimodal Depression Classification and Level Detection

Tiago H. Falk, Milton Orlando Sarria Paja, Mohammed Senoussaoui, 2014, AVEC '14.

Music transcription modelling and composition using deep learning pdf

Bob L. Sturm, Iryna Korshunova, Oded Ben-Tal, 2016, ArXiv.

Very early detection of Autism Spectrum Disorders based on acoustic analysis of pre-verbal vocalizations of 18-month old toddlers

Tiago H. Falk, João Felipe Santos, Wendy Roberts, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multilingual Multiaccented Multispeaker TTS with RADTTS

Kevin J. Shih, Bryan Catanzaro, Rohan Badlani, 2023, arXiv.org.

An improved non-intrusive intelligibility metric for noisy and reverberant speech

Tiago H. Falk, Mohammed Senoussaoui, João Felipe Santos, 2014, 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC).

Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild

Tiago H. Falk, Douglas D. O'Shaughnessy, Anderson R. Avila, 2018, IEEE Transactions on Affective Computing.

Towards the development of a non-intrusive objective quality measure for DNN-enhanced speech

Tiago H. Falk, João Felipe Santos, T. Falk, 2019, 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX).

Non-Intrusive Speech Quality Prediction Using Modulation Energies and LSTM-Network

Stefan Goetze, Simon Doclo, Tiago H. Falk, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Speech Dereverberation With Context-Aware Recurrent Neural Networks

Tiago H. Falk, João Felipe Santos, T. Falk, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices: Advantages and limitations of existing tools

James M. Kates, Vijay Parsa, Tiago H. Falk, 2015, IEEE Signal Processing Magazine.

Materials and Methods

Anderson R. Avila, J. F. Santos, Rachel Bou-Serhal, 2020, Salt Damage in Ceramic Brick Masonry.

SRMR variants for improved blind room acoustics characterization pdf

Tiago H. Falk, Mohammed Senoussaoui, João Felipe Santos, 2015, ArXiv.

Representation Mixing for TTS Synthesis

Yoshua Bengio, Aaron C. Courville, Kyle Kastner, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask

Yoshua Bengio, Gerald Schuller, Tuomas Virtanen, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Applications of deep learning to speech enhancement.

João Felipe Santos, J. F. Santos, 2019 .

Updating the SRMR-CI Metric for Improved Intelligibility Prediction for Cochlear Implant Users

Tiago H. Falk, João Felipe Santos, T. Falk, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Objective speech intelligibility measurement for cochlear implant users in complex listening environments

Stefano Cosentino, Philipos C. Loizou, Tiago H. Falk, 2013, Speech Commun..

Dual-Channel Modulation Energy Metric for Direct-to-Reverberation Ratio Estimation

Emanuel A. P. Habets, Sebastian Braun, Tiago H. Falk, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).