9 accepted papers
Although human evaluation remains the gold standard for open-domain dialogue evaluation, the growing popularity of automated evaluation using Large Language Models (LLMs) has also extended to dialogue. However, most frameworks leverage benchmarks that assess older chatbots on aspects such as fluency…
Automatic Speaker Diarization (ASD) is an enabling technology with numerous applications, which deals with recordings of multiple speakers, raising special concerns in terms of privacy. In fact, in remote settings, where recordings are shared with a server, clients relinquish not only the privacy of…
In this work, we present a qualitative and quantitative analysis of speech and language features derived from two different corpora with the aim to predict early signs of dementia. One corpus consists of the Interdisciplinary Longitudinal Study on Adult Development and Aging (ILSE) designed to inves…
Speaker identification models are vulnerable to carefully designed adversarial perturbations of their input signals that induce misclassification. In this work, we propose a white-box steganography-inspired adversarial attack that generates imperceptible adversarial perturbations against a speaker i…
Automatic detection of speech affecting (SA) diseases has received significant attention, particularly in clinical scenarios. However, the same task in in-the-wild conditions is often neglected, in part, due to the lack of appropriate datasets.In this work, we present the in-the-Wild Speech Medical…
Speech is one of the primary means of communication for humans. It can be viewed as a carrier for information on several levels as it conveys not only the meaning and intention predetermined by a speaker, but also paralinguistic and extralinguistic information about the speaker's age, gender, person…
Obstructive sleep apnea (OSA) is a prevalent sleep disorder, responsible for a decrease of people's quality of life, and significant morbidity and mortality associated with hypertension and cardiovascular diseases. OSA is caused by anatomical and functional alterations in the upper airways, thus we…
The outsourcing of machine learning classification and data mining tasks can be an effective solution for those parties that need machine learning services, but lack the appropriate resources, knowledge and/or tools to carry them out, in their own premises. This solution, however, raises major priva…
This paper investigates a new privacy-preserving paradigm for the task of Query-by-Example Speech Search using Secure Binary Embeddings, a hashing method that converts vector data to bit strings through a combination of random projections followed by banded quantization. The proposed method allows p…