Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis

no code implementations • 3 Jul 2022 • Diego Guffanti, Alberto Brunete, Miguel Hernando, David Álvarez, Javier Rueda, Enrique Navarro

This study shows an improvement in detection of kinematic gait signals and gait descriptors by post-processing the raw estimations of the camera using artificial neural networks trained with the data obtained from a certified Vicon system.

Input complexity and out-of-distribution detection with likelihood-based generative models

1 code implementation • ICLR 2020 • Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque

Likelihood-based generative models are a promising resource to detect out-of-distribution (OOD) inputs which could compromise the robustness or reliability of a machine learning system.

Anomaly Detection Out-of-Distribution Detection +1

Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN

2 code implementations • 3 Jun 2019 • David Álvarez, Santiago Pascual, Antonio Bonafonte

This way we feed the acoustic model with speaker acoustically dependent representations that enrich the waveform generation more than discrete embeddings unrelated to these factors.

Sound Audio and Speech Processing