Search Results for author: Alberto Abad

Found 14 papers, 2 papers with code

Towards End-to-End Private Automatic Speaker Recognition

no code implementations23 Jun 2022 Francisco Teixeira, Alberto Abad, Bhiksha Raj, Isabel Trancoso

This poses two important issues: first, knowledge of the speaker embedding extraction model may create security and robustness liabilities for the authentication system, as this knowledge might help attackers in crafting adversarial examples able to mislead the system; second, from the point of view of a service provider the speaker embedding extraction model is arguably one of the most valuable components in the system and, as such, disclosing it would be highly undesirable.

Privacy Preserving Speaker Recognition +1

Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech

no code implementations30 Jun 2021 John Mendonça, Rubén Solera-Ureña, Alberto Abad, Isabel Trancoso

Experimental results demonstrate that models trained on features extracted from self-supervised models perform similarly or outperform fully-supervised models and models based on handcrafted features.

Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning

no code implementations22 Feb 2021 Rui Ribeiro, Alberto Abad, José Lopes

We evaluated our model on the MultiWOZ dataset and outperformed DiKTNet in both BLEU and Entity F1 scores when the same amount of data is available.

Domain Adaptation Meta-Learning

Pathological speech detection using x-vector embeddings

no code implementations2 Mar 2020 Catarina Botelho, Francisco Teixeira, Thomas Rolland, Alberto Abad, Isabel Trancoso

We test our approach against knowledge-based features and i-vectors, and report results for two European Portuguese corpora, for OSA and PD, as well as for an additional Spanish corpus for PD.

Attentive Filtering Networks for Audio Replay Attack Detection

1 code implementation31 Oct 2018 Cheng-I Lai, Alberto Abad, Korin Richmond, Junichi Yamagishi, Najim Dehak, Simon King

In this work, we propose our replay attacks detection system - Attentive Filtering Network, which is composed of an attention-based filtering mechanism that enhances feature representations in both the frequency and time domains, and a ResNet-based classifier.

Speaker Verification

The DIRHA Portuguese Corpus: A Comparison of Home Automation Command Detection and Recognition in Simulated and Real Data.

no code implementations LREC 2016 Miguel Matos, Alberto Abad, Ant{\'o}nio Serralheiro

In this paper, we describe a new corpus -named DIRHA-L2F RealCorpus- composed of typical home automation speech interactions in European Portuguese that has been recorded by the INESC-ID{'}s Spoken Language Systems Laboratory (L2F) to support the activities of the Distant-speech Interaction for Robust Home Applications (DIRHA) EU-funded project.

Automatic Speech Recognition speech-recognition

The DIRHA simulated corpus

no code implementations LREC 2014 Luca Cristoforetti, Mirco Ravanelli, Maurizio Omologo, Aless Sosi, ro, Alberto Abad, Martin Hagmueller, Petros Maragos

This paper describes a multi-microphone multi-language acoustic corpus being developed under the EC project Distant-speech Interaction for Robust Home Applications (DIRHA).

Dialogue Management Distant Speech Recognition +2

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