A recent innovation in AI technology enables the detection of alcohol consumption just by listening to a person's voice.
In Brief
A team of researchers from La Trobe University in Australia has come up with a cutting-edge algorithm that can quickly evaluate if someone has exceeded the legal alcohol limit based on just a 12-second voice sample. deep learning It's a well-acknowledged truth that consuming alcohol impacts speech abilities. Indicators such as slurred speech, fluctuations in voice pitch or loudness, and a general lack of coordination can signal that someone has consumed alcohol.
Now, scholars from La Trobe University have engineered a complex deep learning algorithm capable of determining whether a person surpasses the legal blood alcohol threshold by analyzing a short speech segment lasting 12 seconds.
This innovative AI algorithm can identify if an individual has been drinking just by analyzing their voice. The researchers used a dataset that comprised 12,360 audio clips featuring both intoxicated and sober individuals, recorded in various settings such as bars, clubs, and even podcasts, showcasing a wide range of regional accents. According to the research team, one of the promising applications for this AI tool is its potential integration into mobile apps, allowing for rapid assessments of an individual’s sobriety in different scenarios.
Moreover, this algorithm holds the potential to impact the taxi and nightlife sectors, enabling establishments to evaluate customers for sobriety and ensuring that intoxicated individuals are not allowed entry into venues. phone calls Although the technology is still in the nascent phase of development, the researchers express optimism that improvements will enhance its reliability. They hope it will eventually assist individuals in making informed choices about their alcohol consumption.
Discover the top 50 prompts for text-to-image generation with AI art tools like Midjourney and DALL-E.
VALL-E, Microsoft’s innovative zero-shot text-to-speech model, boasts the ability to replicate any voice within a mere three seconds.
Please bear in mind that the information present on this page isn’t meant to constitute legal, tax, investment, or financial advice. Always invest wisely and seek independent advice when uncertain. For additional details, we recommend reviewing the issuer’s terms and conditions along with their support resources. Metaverse Post aims to provide accurate, unbiased news, but remember that market dynamics can shift unpredictably.
Damir serves as the product manager, lead editor, and team captain at Metaverse Post, focusing on AI/ML, AGI, Large Language Models, the Metaverse, and Web3 topics. His writings captivate a huge audience, drawing in over a million readers each month. With a decade of expertise in SEO and digital marketing, Damir has been featured in major publications like Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, and BeInCrypto. As a digital nomad, he moves between the UAE, Turkey, Russia, and the CIS, and attributes his analytical mindset to his physics degree, which he believes is vital for navigating the ever-evolving digital landscape.
Read more about AI:
Disclaimer
In line with the Trust Project guidelines dRPC Launches NodeHaus Platform to Assist Web3 Foundations in Improving Blockchain Connectivity.
