|
|
|
|
|
Paniti Netinant, Thitipong Utsanok, Meennapa Rukhiran and Suttipong Klongdee
With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be hig...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Francisca de Paula Soares, Marília Sampaio and Meike Brockmann-Bauser
This research article investigates whether the acoustic measure Voice Onset Time (VOT) can describe voicing features in patients with vocal hyperfunction.
|
|
|
|
|
|
|
|
|
|
|
Shih-An Li, Yu-Ying Liu, Yun-Chien Chen, Hsuan-Ming Feng, Pi-Kang Shen and Yu-Che Wu
This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without a microphone where users can control the robot with spoken commands; the voice commands are then reco...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raquel García, Juan Albarrán, Adrián Fabio, Fernando Celorrio, Carlos Pinto de Oliveira and Cristina Bárcena
In the air traffic management (ATM) environment, air traffic controllers (ATCos) and flight crews, (FCs) communicate via voice to exchange different types of data such as commands, readbacks (confirmation of reception of the command) and information rela...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chong Lan, Yongsheng Wang, Chengze Wang, Shirong Song and Zheng Gong
Traditional 3D animation creation involves a process of motion acquisition, dubbing, and mouth movement data binding for each character. To streamline animation creation, we propose combining artificial intelligence (AI) with a motion capture system. Thi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kadria Ezzine, Joseph Di Martino and Mondher Frikha
We present an any-to-one voice conversion (VC) system, using an autoregressive model and LPCNet vocoder, aimed at enhancing the converted speech in terms of naturalness, intelligibility, and speaker similarity. As the name implies, non-parallel any-to-on...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ella Pinska-Chauvin, Hartmut Helmke, Jelena Dokic, Petri Hartikainen, Oliver Ohneiser and Raquel García Lasheras
This paper describes the safety assessment conducted in SESAR2020 project PJ.10-W2-96 ASR on automatic speech recognition (ASR) technology implemented for air traffic control (ATC) centers. ASR already now enables the automatic recognition of aircraft ca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad, Petr Motlicek, Driss Khalil, Srikanth Madikeri, Allan Tart, Igor Szoke, Vincent Lenders, Mickael Rigault and Khalid Choukri
Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). The handling of these voice communications requires high levels of awareness from ATCos and can be tedious and e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina, Petr Motlicek and Matthias Kleinert
In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools. The virtual simulation-pilot engine receives spoke...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullah Zaini Alsheibi, Kimon P. Valavanis, Asif Iqbal and Muhammad Naveed Aman
With the advancement in voice-communication-based human?machine interface technology in smart home devices, the ability to decompose the received speech signal into a signal of interest and an interference component has emerged as a key requirement for t...
ver más
|
|
|
|
|
|