19 citations · 30 across the 7 of their papers we have counts for
7 papers
Audio-Visual Speaker Diarization: Current Databases, Approaches and Challenges
Victoria Mingote, Alfonso Ortega, Antonio Miguel +1
Nowadays, the large amount of audio-visual content available has fostered the need to develop new robust automatic speaker diarization systems to analyse and characterise it. This…
Direct Text to Speech Translation System using Acoustic Units
Victoria Mingote, Pablo Gimeno, Luis Vicente +3
This paper proposes a direct text to speech translation system using discrete acoustic units. This framework employs text in different source languages as input to generate speech…
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation
Sameer Khurana, Nauman Dawalatabad, Antoine Laurent +4
Research in multilingual speech-to-text translation is topical. Having a single model that supports multiple translation tasks is desirable. The goal of this work it to improve cro…
Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems
Victoria Mingote, Antonio Miguel, Alfonso Ortega +1
This paper explores three novel approaches to improve the performance of speaker verification (SV) systems based on deep neural networks (DNN) using Multi-head Self-Attention (MSA)…
Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data
Pablo Gimeno, Victoria Mingote, Alfonso Ortega +2
Area under the ROC curve (AUC) optimisation techniques developed for neural networks have recently demonstrated their capabilities in different audio and speech related tasks. Howe…
Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification
Victoria Mingote, Antonio Miguel, Alfonso Ortega +1
This paper explores two techniques to improve the performance of text-dependent speaker verification systems based on deep neural networks. Firstly, we propose a general alignment…
Differentiable Supervector Extraction for Encoding Speaker and Phrase Information in Text Dependent Speaker Verification
Victoria Mingote, Antonio Miguel, Alfonso Ortega +1
In this paper, we propose a new differentiable neural network alignment mechanism for text-dependent speaker verification which uses alignment models to produce a supervector repre…