Deep spoken keyword spotting: An overview

I López-Espejo, ZH Tan, JHL Hansen, J Jensen - IEEE Access, 2021 - ieeexplore.ieee.org
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …

An artificial intelligence edge computing-based assistive system for visually impaired pedestrian safety at zebra crossings

WJ Chang, LB Chen, CY Sie… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a wearable assistive system based on artificial intelligence (AI) edge
computing techniques to help visually impaired consumers safely use marked crosswalks, or …

Rainbow keywords: Efficient incremental learning for online spoken keyword spotting

Y Xiao, N Hou, ES Chng - arXiv preprint arXiv:2203.16361, 2022 - arxiv.org
Catastrophic forgetting is a thorny challenge when updating keyword spotting (KWS) models
after deployment. This problem will be more challenging if KWS models are further required …

Deep learning-based detection of inappropriate speech content for film censorship

ASB Wazir, HA Karim, HS Lyn, MFA Fauzi… - IEEE …, 2022 - ieeexplore.ieee.org
Audible content has become an effective tool for shaping one's personality and character
due to the ease of accessibility to a huge audible content that could be an independent …

Self-calibrating Acoustic Sensor Networks with Per-Channel Energy Normalization

V Lostanlen - Euronoise, 2021 - hal.science
The recent surge of machine learning models for wireless sensor networks brings new
opportunities for environmental acoustics. Yet, these models are prone to statistical …