IEEE

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning

Abstract: Keyword spotting (KWS) is a key component of smart devices, enabling efficient and intuitive audio interaction. However, standard KWS systems deployed on embedded devices often suffer ...
GitHub

using-the-intellitrace-stand-alone-collector.md

The **IntelliTrace stand-alone collector** lets you collect IntelliTrace diagnostic data for your apps on production servers or other environments without installing Visual Studio on the target ...
BMJ

Temporal trends in the epidemiology of hip osteoarthritis in the USA, 1990–2019: a cross-sectional time-series study using GBD data

Objectives To evaluate temporal trends in the epidemiology of hip osteoarthritis (OA) in the USA from 1990 to 2019, with stratification by sex and geographic region. Design Cross-sectional time-series ...
The Hill

Google wants to release up to 32 million ‘good’ mosquitoes in California and Florida

The little-known program aims to “stop bad bugs with good bugs” by releasing millions of sterile mosquitoes to eliminate those that carry disease. Mosquitoes are the deadliest animal in the world, ...
IEEE

Cross-Domain Few-Shot Open-Set Keyword Spotting Using Keyword Adaptation and Prototype Reprojection

Personalized keyword spotting (KWS) with few enrollment utterances remains an important problem over years. KWS remains a challenging task due to the following factors, including the scarcity of ...
World Trademark Review

Google’s use of trademarks in keyword advertising is infringement, says Indian court

A landmark decision treating keyword use as infringement raises the stakes for advertisers bidding on competitors’ marks while empowering brand owners to challenge unauthorised targeting in paid ...