Results 31 to 40 of about 1,326,385 (286)

Research Status and Challenges of Eavesdropping Attacks and Defenses Targeting VoiceAssistants [PDF]

Jisuanji kexue
Voice assistants serve as convenient interfaces for human-computer voice interaction,finding widespread application across various settings including homes,sports,and vehicles.They play a pivotal role in facilitating the intelligent advancement of ...
HUANG Wenbin, REN Ju, CAO Hangcheng, JIANG Hongbo, XIONG Lizhi, CHEN Xianyi, FU Zhangjie
doaj   +1 more source

A Smart Robotic Walker With Intelligent Close-Proximity Interaction Capabilities for Elderly Mobility Safety

Frontiers in Neurorobotics, 2020
The elderly population has rapidly increased in past years, bringing huge demands for elderly serving devices, especially for those with mobility impairment.
Xiaoyang Zhao, Zhi Zhu, Mingshan Liu, Chongyu Zhao, Yafei Zhao, Jia Pan, Zheng Wang, Zheng Wang, Chuan Wu   +8 more
doaj   +1 more source

Prosodic Differences in Human- and Alexa-Directed Speech, but Similar Local Intelligibility Adjustments

Frontiers in Communication, 2021
The current study tests whether individuals (n = 53) produce distinct speech adaptations during pre-scripted spoken interactions with a voice-AI assistant (Amazon’s Alexa) relative to those with a human interlocutor.
Michelle Cohn, Georgia Zellou
doaj   +1 more source

Intelligent Voice Assistant Extended Through Voice Relay System [PDF]

, 2018
Intelligent voice assistants provide powerful functionality for consumers, but require relatively expensive general purpose processors, audio digital signal processors, local hotword detection and voice library modules, and more.
Honjo, Shigefumi, Chang, Lawrence
core   +1 more source

Comparing alignment toward American, British, and Indian English text-to-speech (TTS) voices: influence of social attitudes and talker guise

Frontiers in Computer Science, 2023
Text-to-speech (TTS) voices, which vary in their apparent native language and dialect, are increasingly widespread. In this paper, we test how speakers perceive and align toward TTS voices that represent American, British, and Indian dialects of English ...
Nicole Dodd, Michelle Cohn, Georgia Zellou   +2 more
doaj   +1 more source

Application of IoT Android voice assistant based on sensor networks in higher education network mode

Measurement: Sensors
In order to make full use of the potential of wireless sensor networks in higher education, this study aims to provide convenient intelligent learning and management functions by constructing an iot Android voice assistant based on wireless sensor ...
Wang Ye, Ma Li
doaj   +1 more source

Intelligent Driving Assistant Based on Road Accident Risk Map Analysis and Vehicle Telemetry

, 2020
Through the application of intelligent systems in driver assistance systems, the experience of traveling by road has become much more comfortable and safe.
Mauricio Pardo, José Terán, Christian G. Quintero M., Loraine Navarro   +3 more
core   +1 more source

Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions

Computers, 2023
Social patterns and roles can develop when users talk to intelligent voice assistants (IVAs) daily. The current study investigates whether users assign different roles to devices and how this affects their usage behavior, user experience, and social ...
Carolin Wienrich, Astrid Carolus, André Markus, Yannik Augustin, Jan Pfister, Andreas Hotho   +5 more
doaj   +1 more source

Desktop Voice Assistant

, 2023
Our desktop voice assistant project aims to develop asoftware program that uses artificial intelligence and natural language processing to understand and respond to voice commands on a desktop computer.
Tejal Patel, Brijesh Babariya, Harshil Asodariya, Eishan Ghori, Keval Vachhani   +4 more
core   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source