What I Don't Like about You?: A Systematic Review of Impeding Aspects for the Usage of Conversational Agents

D Hennekeuser, D Vaziri, D Golchinfar… - Interacting with …, 2024 - academic.oup.com
The application and use cases for conversational agents (CAs) are versatile. Smart
speakers such as Alexa and Google Home are used in smart home environments, digital …

On-device query intent prediction with lightweight LLMs to support ubiquitous conversations

M Dubiel, Y Barghouti, K Kudryavtseva, LA Leiva - Scientific Reports, 2024 - nature.com
Abstract Conversational Agents (CAs) have made their way to providing interactive
assistance to users. However, the current dialogue modelling techniques for CAs are …

Finstreder: simple and fast spoken language understanding with finite state transducers using modern speech-to-text models

D Bermuth, A Poeppel, W Reif - arXiv preprint arXiv:2206.14589, 2022 - arxiv.org
In Spoken Language Understanding (SLU) the task is to extract important information from
audio commands, like the intent of what a user wants the system to do and special entities …

Privacy and Security in the Use of Voice Assistant: An Evaluation of User Awareness and Preferences

A Dhiya'Mardhiyyah, JJK Latif… - … Conference on Information …, 2023 - ieeexplore.ieee.org
Recently, voice assistants have become increasingly popular with millions of users relying
on them to complete daily tasks and access information. While it may be convenient to use …

[PDF][PDF] Design Patterns for Detecting and Mitigating Bias in Edge AI

W Hutiri - 2023 - pure.tudelft.nl
Prof. dr. ME Warnier Delft University of Technology Prof. dr. ir. N. Meratnia Eindhoven
University of Technology Prof. dr. CM Jonker Delft University of Technology Prof. dr. JA …

Cross-Modal Alignment for End-to-End Spoken Language Understanding Based on Momentum Contrastive Learning

B Zheng, M Ablimit, A Hamdulla - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
The end-to-end spoken language understanding system extracts the semantic intent directly
from an input speech. It effectively avoids problems such as semantic drift in traditional …

The Evolution of Voice Assistants: From Text-to-Speech to Conversational AI

R Jampala, DS Kola, AN Gummadi… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
Voice assistants have undergone a remarkable transformation, evolving from simple text-to-
speech systems to sophisticated conversational AI platforms. This exploration delves into the …

Intelligent Voice Assistants in home care: an initial overview on requirements, hopes and fears of professionals

E Birrer, M Biallas - 2022 15th International Conference on …, 2022 - ieeexplore.ieee.org
In the scope of co-creation sessions, care workers provided insights on applications and on
concerns about Intelligent Voice Assistants (IVA) in the home of their clients or patients. The …

Voice User Experience: Nutzerirritationen bei der Anwendung von Sprachapplikationen aufdecken. Wie UX-Messmethoden zu einem erfolgreichen Kundendialog …

A Demaeght, J Nerb, A Müller - Dialogmarketing Perspektiven 2022/2023 …, 2023 - Springer
Zusammenfassung Sprachassistenten wie Alexa, Google Assistant, Siri, Cortana, Magenta
und Bixby erfreuen sich dank ihrer intuitiven, schnellen und bequemen …

[PDF][PDF] Voice Privacy Assistant for Monitoring In-home Voice Commands

B Tran, X Liang, G Ghinita, C Summerour, JA Batsis - usenix.org
Voice assistant systems (VAS), such as Google Assistant or Amazon Alexa, provide
convenient means for users to interact verbally with online services and control smart home …