Unsupervised representation learning for speech activity detection in the fearless steps challenge 2021
In this paper, we describe the ViVoLab speech activity detection (SAD) system submitted to
the Fearless steps Challengephase III. This series of challenges have proposed a number of …
the Fearless steps Challengephase III. This series of challenges have proposed a number of …
Multimodal diarization systems by training enrollment models as identity representations
This paper describes a post-evaluation analysis of the system developed by ViVoLAB
research group for the IberSPEECH-RTVE 2020 Multimodal Diarization (MD) Challenge …
research group for the IberSPEECH-RTVE 2020 Multimodal Diarization (MD) Challenge …
The domain mismatch problem in the broadcast speaker attribution task
The demand of high-quality metadata for the available multimedia content requires the
development of new techniques able to correctly identify more and more information …
development of new techniques able to correctly identify more and more information …
[PDF][PDF] Advances in Binary and Multiclass Audio Segmentation with Deep Learning Techniques: A PhD Thesis Overview
Advances in technology have increased multimedia data generation, making manual
analysis impractical and driving the need for automatic tools, often based on deep learning …
analysis impractical and driving the need for automatic tools, often based on deep learning …
Unsupervised adaptation of deep speech activity detection models to unseen domains
Speech Activity Detection (SAD) aims to accurately classify audio fragments containing
human speech. Current state-of-the-art systems for the SAD task are mainly based on deep …
human speech. Current state-of-the-art systems for the SAD task are mainly based on deep …
[PDF][PDF] Advances in Binary and Multiclass Audio Segmentation with Deep Learning Techniques
PG Jordán, AO Giménez - 2023 - researchgate.net
Advances in technology over the last decade have reshaped the way population interact
with multimedia content. This fact aroused a significant rise both in generation and …
with multimedia content. This fact aroused a significant rise both in generation and …
[PDF][PDF] Representation and metric learning advances for deep neural network face and speaker biometric systems
VM Bueno - 2022 - researchgate.net
The increasing use of technological devices and biometric recognition systems in people
daily lives has motivated a great deal of research interest in the development of effective and …
daily lives has motivated a great deal of research interest in the development of effective and …
Advances in Binary and Multiclass Audio Segmentation with Deep Learning Techniques
P Gimeno Jordán, A Ortega Giménez - zaguan.unizar.es
Los avances tecnológicos acaecidos en la última década han cambiado completamente la
forma en la que la población interactúa con el contenido multimedia. Esto ha propiciado un …
forma en la que la población interactúa con el contenido multimedia. Esto ha propiciado un …
EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III
Speech Activity Detection (SAD), locating speech segments within an audio recording, is a
main part of most speech technology applications. Robust SAD is usually more difficult in …
main part of most speech technology applications. Robust SAD is usually more difficult in …