Sunday, October 6, 2024

New voice recognition system offers 99% accuracy even in noisy envrionment

New self-filtering liquid acoustic sensor

As the traditional solid-based sensors are less effective in noisy environments and susceptible to unwanted disturbances, researchers at Beijing Forestry University have reported a self-filtering liquid acoustic sensor for accurate voice recognition and better human-machine interaction. These sensors are based on a reconfigurable magnetic liquid called Permanent Fluidic Magnet (PFM) with high remanent magnetization. This means the liquid behaves like a permanent magnet, boosting the liquid’s magnetic properties. Scientists have integrated liquid acoustic sensors with machine learning algorithms, which improves voice recognition accuracy by 99%, even in loud surroundings.

How the brain transforms sensation into action

Brain-wide decision-making dynamics discovered
Science
walkon device

This robotic exoskeleton enhances walking efficiency for older

The weight of the WalkON system is just 2.93 KG

Zooplankton do not clean water

They play limited role in cleaning contaminated water
Banana Tree and Flower

Southeast Asia was the main diversification center for the Bananas

If we lose wild banana species, we lose banana's sustainability

Photon momentum effectively turns indirect silicon into direct semiconductor

Optical properties of materials can be dramatically enhanced.
Krill

Antarctic Krill locks similar levels of carbon as mangroves

Unveiling the Carbon Storage Potential of Antarctic Krill

New catalyst produces methane using electricity

Methane that doesn’t contribute to global warming.
Ai energy consumption concept

Cognitive changes linked to COVID-19 identified in study

Study highlights specific changes associated with COVID-19 in particular brain function
Oily bubbles in water with drops

Researchers observed the formation of small water bubbles in real time

Scientists witnessed the merging of hydrogen and oxygen atoms.

Novel method for strengthening PVC products

New method may mean less microplastic pollution