A New mmWave-Speech Multimodal Speech System for Voice User Interface-Reference-Cited by-同舟云学术

A New mmWave-Speech Multimodal Speech System for Voice User Interface

Published:2024-01-08 Issue:4 Volume:27 Page:31-35
ISSN:2375-0529
Container-title:GetMobile: Mobile Computing and Communications
language:en
Short-container-title:GetMobile: Mobile Comp. and Comm.

Author:

Liu Tiantian¹,Lin Feng¹

Affiliation:

1. Zhejiang University, Hangzhou, Zhejiang, China

Abstract

Voice user interface (VUI) plays an essential role in intelligent scenes, e.g., smart homes. It provides a hands- and eyes-free human-machine interaction between humans and Internet of Things devices. Benefiting from the development of deep learning and natural language process, the automatic speech recognition (ASR) entitles VUI to the capacity of accurate comprehension on users' intentions. With such a convenient and flexible service, users can interact with various devices as they please. Commercial VUI products have gained in popularity over recent years, such as smart speakers (e.g., Amazon Echo and Google Home), voice assistants in smartphones (e.g., Siri), and in-vehicle voice control interactions (e.g., VUIs in Tesla Model S/X/3/Y). Analysts forecast that by 2024, the deployment of VUI-based smart speakers will reach 640 million globally.

Publisher

Association for Computing Machinery (ACM)

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Link

https://dl.acm.org/doi/pdf/10.1145/3640087.3640096

Reference8 articles.

1. Wavoice

2. mmPhone: Acoustic Eavesdropping on Loudspeakers via mmWave-characterized Piezoelectric Effect

3. C. Wang , F. Lin , T. Liu , 2022 . mmEve: Eavesdropping on smartphone's earpiece via COTS mmWave device . Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, 338--351 . C. Wang, F. Lin, T. Liu, et al. 2022. mmEve: Eavesdropping on smartphone's earpiece via COTS mmWave device. Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, 338--351.

4. T. Liu , F. Lin , Z Wang , 2023 . MagBackdoor: Beware of Your Loudspeaker as a Backdoor for Magnetic Injection Attacks . IEEE Symposium on Security and Privacy (SP). IEEE Computer Society, 3416--3431 . T. Liu, F. Lin, Z Wang, et al. 2023. MagBackdoor: Beware of Your Loudspeaker as a Backdoor for Magnetic Injection Attacks. IEEE Symposium on Security and Privacy (SP). IEEE Computer Society, 3416--3431.

5. T. Liu , C. Wang , Z. Li , 2023 . Wavoice: A mmWave-assisted Noise-resistant Speech Recognition System. ACM Transactions on Sensor Networks. T. Liu, C. Wang, Z. Li, et al. 2023. Wavoice: A mmWave-assisted Noise-resistant Speech Recognition System. ACM Transactions on Sensor Networks.