8 citations · 32 across the 14 of their papers we have counts for
15 papers
Speech as a Biomarker for Disease Detection
Catarina Botelho, Alberto Abad, Tanja Schultz +1
Speech is a rich biomarker that encodes substantial information about the health of a speaker, and thus it has been proposed for the detection of numerous diseases, achieving promi…
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
Francisco Teixeira, Karla Pizzi, Raphael Olivier +3
Membership Inference (MI) poses a substantial privacy threat to the training data of Automatic Speech Recognition (ASR) systems, while also offering an opportunity to audit these m…
Privacy-oriented manipulation of speaker representations
Francisco Teixeira, Alberto Abad, Bhiksha Raj +1
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymisation. The amount of information held by…
Memory-augmented conformer for improved end-to-end long-form ASR
Carlos Carvalho, Alberto Abad
Conformers have recently been proposed as a promising modelling approach for automatic speech recognition (ASR), outperforming recurrent neural network-based approaches and transfo…
A Simple Feature Method for Prosody Rhythm Comparison
Mariana Julião, Alberto Abad, Helena Moniz
Of all components of Prosody, Rhythm has been regarded as the hardest to address, as it is utterly linked to Pitch and Intensity. Nevertheless, Rhythm is a very good indicator of a…
Privacy-preserving Automatic Speaker Diarization
Francisco Teixeira, Alberto Abad, Bhiksha Raj +1
Automatic Speaker Diarization (ASD) is an enabling technology with numerous applications, which deals with recordings of multiple speakers, raising special concerns in terms of pri…
Towards End-to-End Private Automatic Speaker Recognition
Francisco Teixeira, Alberto Abad, Bhiksha Raj +1
The development of privacy-preserving automatic speaker verification systems has been the focus of a number of studies with the intent of allowing users to authenticate themselves…
Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech
John Mendonça, Rubén Solera-Ureña, Alberto Abad +1
The ComParE 2021 COVID-19 Speech Sub-challenge provides a test-bed for the evaluation of automatic detectors of COVID-19 from speech. Such models can be of value by providing test…
Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning
Rui Ribeiro, Alberto Abad, José Lopes
Current generative-based dialogue systems are data-hungry and fail to adapt to new unseen domains when only a small amount of target data is available. Additionally, in real-world…
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
Ali Shahin Shamsabadi, Francisco Sepúlveda Teixeira, Alberto Abad +3
Speaker identification models are vulnerable to carefully designed adversarial perturbations of their input signals that induce misclassification. In this work, we propose a white-…
The INESC-ID Multi-Modal System for the ADReSS 2020 Challenge
Anna Pompili, Thomas Rolland, Alberto Abad
This paper describes a multi-modal approach for the automatic detection of Alzheimer's disease proposed in the context of the INESC-ID Human Language Technology Laboratory particip…
Assessment of Parkinson's Disease Medication State through Automatic Speech Analysis
Anna Pompili, Rubén Solera-Ureña, Alberto Abad +5
Parkinson's disease (PD) is a progressive degenerative disorder of the central nervous system characterized by motor and non-motor symptoms. As the disease progresses, patients alt…
Pathological speech detection using x-vector embeddings
Catarina Botelho, Francisco Teixeira, Thomas Rolland +2
The potential of speech as a non-invasive biomarker to assess a speaker's health has been repeatedly supported by the results of multiple works, for both physical and psychological…
Cross lingual transfer learning for zero-resource domain adaptation
Alberto Abad, Peter Bell, Andrea Carmantini +1
We propose a method for zero-resource domain adaptation of DNN acoustic models, for use in low-resource situations where the only in-language training data available may be poorly…
Attentive Filtering Networks for Audio Replay Attack Detection
Cheng-I Lai, Alberto Abad, Korin Richmond +3
An attacker may use a variety of techniques to fool an automatic speaker verification system into accepting them as a genuine user. Anti-spoofing methods meanwhile aim to make the…