Design, Implementation, and Practical Evaluation of a Voice Recognition Based IoT Home Automation System for Low-Resource Languages and Resource …

I Froiz-Míguez, P Fraga-Lamas… - IEEE …, 2023 - ieeexplore.ieee.org
Systems with voice control are an attractive option for increasing technological integration,
not only for people with little knowledge on technology or constrained Internet access, but …

A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions

O Jouini, K Sethom, A Namoun, N Aljohani, MH Alanazi… - Technologies, 2024 - mdpi.com
Internet of Things (IoT) devices often operate with limited resources while interacting with
users and their environment, generating a wealth of data. Machine learning models interpret …

Wav2vec2. 0 on the edge: Performance evaluation

S Gondi - arXiv preprint arXiv:2202.05993, 2022 - arxiv.org
Wav2Vec2. 0 is a state-of-the-art model which learns speech representations through
unlabeled speech data, aka, self supervised learning. The pretrained model is then fine …

[Retracted] Use Brain‐Like Audio Features to Improve Speech Recognition Performance

J Wang, B Li, J Zhang - Journal of Sensors, 2022 - Wiley Online Library
Speech recognition plays an important role in the field of human‐computer interaction
through the use of acoustic sensors, but speech recognition is technically difficult, has …

Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction

A Zgank - Mathematics, 2022 - mdpi.com
Automatic speech recognition is essential for establishing natural communication with a
human–computer interface. Speech recognition accuracy strongly depends on the …

Iot device control with offline automatic speech recognition on edge device

P Setiawan, R Yusuf - 2022 12th International Conference on …, 2022 - ieeexplore.ieee.org
Automatic speech recognition (ASR) on edge device still barely used in industry. Most of
ASR such as speech-to-text commonly depend on the network presence. This is the …

The Development of a Kazakh Speech Recognition Model Using a Convolutional Neural Network with Fixed Character Level Filters

N Kadyrbek, M Mansurova, A Shomanov… - Big Data and Cognitive …, 2023 - mdpi.com
This study is devoted to the transcription of human speech in the Kazakh language in
dynamically changing conditions. It discusses key aspects related to the phonetic structure …

Secure speech-recognition data transfer in the internet of things using a power system and a tried-and-true key generation technique

Z Wang, S He, G Li - Cluster Computing, 2024 - Springer
To secure the privacy, confidentiality, and integrity of Speech Data (SD), the concept of
secure Speech Recognition (SR) involves accurately recording and comprehending spoken …

End-to-end Jordanian dialect speech-to-text self-supervised learning framework

AA Safieh, IA Alhaol, R Ghnemat - Frontiers in Robotics and AI, 2022 - frontiersin.org
Speech-to-text engines are extremely needed nowadays for different applications,
representing an essential enabler in human–robot interaction. Still, some languages suffer …

FPGA based Power-Efficient Edge Server to Accelerate Speech Interface for Socially Assistive Robotics

H Gulzar, M Shakeel, K Itoyama… - 2023 IEEE/SICE …, 2023 - ieeexplore.ieee.org
Socially Assistive Robotics (SAR) is a sustainable solution for the growing elderly and
disabled population requiring proper care and supervision. Internet of Things (IoT) and Edge …