Audio segmentation and sound event detection are crucial topics in machine listening that aim to detect acoustic classes and their respective boundaries. It is useful for audio-content analysis, speech recognition, audio-indexing, and music information retrieval. In recent years, most research articles adopt segmentation-by-classification. This technique divides audio into small frames and individually performs classification on these frames. In this paper, we present a novel approach called You Only Hear Once (YOHO), which is inspired by the YOLO algorithm popularly adopted in Computer Vision. We convert the detection of acoustic boundaries into a regression problem instead of frame-based classification. This is done by having separate output neurons to detect the presence of an audio class and predict its start and end points. The relative improvement for F-measure of YOHO, compared to the state-of-the-art Convolutional Recurrent Neural Network, ranged from 1% to 6% across multiple datasets for audio segmentation and sound event detection. As the output of YOHO is more end-to-end and has fewer neurons to predict, the speed of inference is at least 6 times faster than segmentation-by-classification. In addition, as this approach predicts acoustic boundaries directly, the post-processing and smoothing is about 7 times faster.

… strategies can help avert existential threats we create ourselves, such as climate change, lab-engineered viruses and artificial intelligence.

Almost as quickly as it began, the music industry may have seen the end of the infamous Artificial Intelligence (A.I.) rapper referred to as "FN Meka", a computer-generated character being widely condemned for appropriating Black culture and saying the N-word. The A.I. rapper was developed by Anthony Martini and Brandon Le, co-founders of Factory New, a Metaverse media company. Some critics claim that the creators who are not Black are trivializing Black art and the Black experience, tantamount to what some are calling "digital Blackface." "In many ways, digital Blackface is an example of … the'digital afterlife of slavery' and Jim Crow, where you have real people and virtual characters engaging in a kind of machine-automated minstrelsy that disrespects and disregards the artistry and production value that goes into the creation of Black culture," Dr. Faithe J. Day, Assistant Professor of Black Studies at the University of California Santa Barbara (UCSB), told California Black Media. Media watchers say FN Meka is modeled after rap artists like Lil Pump and Travis Scott and was voiced by real-life rap artist Kyle the Hooligan.

More and more people talk about Artificial Intelligence, especially in the last few years. Humans have been brave enough to think about the possibility of robots that can do things that humans do for a long time. Even though this has been helpful in many ways, have we ever wondered if artificial intelligence could be smarter than humans? Before you can compare human and artificial intelligence, you need to know what artificial intelligence is. In simple terms, artificial intelligence is the set of skills that a machine needs to be able to do tasks that a human can do easily.

You may have heard a lot of rumbling about a looming AI-generated "universe" where people can kick it in the Matrix, basically, with little more than just a pair of virtual reality headsets to guide them. But forget all that chatter, for something much better is now possible: An AI-driven software is now creating new videos for your favorite songs. As Classic Rock reports, it goes a little something like this: the software is programmed to generate visuals based on the text it's given to summarize. "cowbell," "instrumental bridge), and the software spits out completely new and totally modern images based on the data entered. Once you have the images, well hell--that's half the video!

We are a community dedicated to art produced with the help of artificial neural networks, which are themselves inspired by the human brain. Advances in the machine learning sub field of artificial intelligence brought on by the information age have made it possible for machines to create art that rivals that of what a human being can do. We here at /r/DeepDream mainly focus on applications of deep learning which itself is a sub field of machine learning. As the largest online AI art community, we routinely push the bounds of technology in the pursuit of better-looking artwork. The DeepDream wiki is available here.

It seems like every time I go online, there is a new AI or machine learning capability that is on the edge of threatening creativity as we know it. Or maybe that is just me reading every clickbait title I come across. So instead of believing the hype and the online fear mongering, I decided with this article "AI (artificial intelligence) should authors and creatives be scared?" to look at the current state of AI in the creative space, looking at the tools I currently use, what I can access and what the future may hold. First off, I am no stranger to AI; I have several SAAS AI tools I use on a weekly basis. I believe that AI will help develop the creative spirit and develop many new jobs and academic fields across every category of human endeavour, rather than threaten jobs.

Social media platforms constantly keep evolving--each platform does their mightiest best to get users more addicted. In the context of technology, 'addiction' hardly carries a negative connotation. The more addictive a digital experience is, the more immersive it is considered. Among the current crop of social media companies, ByteDance's TikTok takes the cake. If social media is in the business of addiction--TikTok is crack cocaine.

Dublin, Sept. 15, 2022 (GLOBE NEWSWIRE) — The "Automotive Artificial Intelligence Market by Offering, Technology (Deep Learning, Machine Learning …

"Is AI Coming For Commercial Art?" rendered by Stable Diffusion, prompted by Rob Salkowitz Earlier this summer, a piece generated by an AI text-to-image application won a prize in a state fair art competition, prying open a Pandora's Box of issues about the encroachment of technology into the domain of human creativity and the nature of art itself. As fascinating as those questions are, the rise of AI-based image tools like Dall-E, Midjourney and Stable Diffusion, which rapidly generate detailed and beautiful images based on text descriptions supplied by the user, pose a much more practical and immediate concern: They could very well hold a shiny, photorealistically-rendered dagger to the throats of hundreds of thousands of commercial artists working in the entertainment, videogame, advertising and publishing industries, according to a number of professionals who have worked with the technology. How impactful would this be to the global creative economy that runs on spectacular imagery? Think about the 10 minutes of credits at the end of every modern Hollywood blockbuster. Same with videogames, where commercial artists hone their skills for years to score plum jobs like concept artist and character designer.