Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Aloufi, Ranya"'
Speaker embeddings extracted from voice recordings have been proven valuable for dementia detection. However, by their nature, these embeddings contain identifiable information which raises privacy concerns. In this work, we aim to anonymize embeddin
Externí odkaz:
http://arxiv.org/abs/2407.03470
Microcontroller Units (MCUs) are ideal platforms for edge applications due to their low cost and energy consumption, and are widely used in various applications, including personalized machine learning tasks, where customized models can enhance the t
Externí odkaz:
http://arxiv.org/abs/2403.08040
Automating dysarthria assessments offers the opportunity to develop practical, low-cost tools that address the current limitations of manual and subjective assessments. Nonetheless, the small size of most dysarthria datasets makes it challenging to d
Externí odkaz:
http://arxiv.org/abs/2306.04337
Despite impressive empirical advances of SSL in solving various tasks, the problem of understanding and characterizing SSL representations learned from input data remains relatively under-explored. We provide a comparative analysis of how the represe
Externí odkaz:
http://arxiv.org/abs/2306.01398
Using our voices to access, and interact with, online services raises concerns about the trade-offs between convenience, privacy, and security. The conflict between maintaining privacy and ensuring input authenticity has often been hindered by the ne
Externí odkaz:
http://arxiv.org/abs/2205.14026
Speech synthesis, voice cloning, and voice conversion techniques present severe privacy and security threats to users of voice user interfaces (VUIs). These techniques transform one or more elements of a speech signal, e.g., identity and emotion, whi
Externí odkaz:
http://arxiv.org/abs/2107.10045
Voice assistive technologies have given rise to far-reaching privacy and security concerns. In this paper we investigate whether modular automatic speech recognition (ASR) can improve privacy in voice assistive systems by combining independently trai
Externí odkaz:
http://arxiv.org/abs/2104.00766
Voice user interfaces and digital assistants are rapidly entering our lives and becoming singular touch points spanning our devices. These always-on services capture and transmit our audio data to powerful cloud services for further processing and su
Externí odkaz:
http://arxiv.org/abs/2011.02930
Voice User Interfaces (VUIs) are increasingly popular and built into smartphones, home assistants, and Internet of Things (IoT) devices. Despite offering an always-on convenient user experience, VUIs raise new security and privacy concerns for their
Externí odkaz:
http://arxiv.org/abs/2007.15064
Voice controlled devices and services have become very popular in the consumer IoT. Cloud-based speech analysis services extract information from voice inputs using speech recognition techniques. Services providers can thus build very accurate profil
Externí odkaz:
http://arxiv.org/abs/1909.08500