Moises’ Post

Feel free to check out the latest "Southern Rebel" playlist of 'AI Covers' on "Wild Accents", where the magic of premium 'AI Covers' breathes new life into both chart-topping hits and hidden gems. Discover the harmonious fusion of technology and music. Unleash your curiosity and dive into the enchanting 'AI Covers' featured in the "Southern Rebel" playlist. 🎧 Here is a link: https://lnkd.in/eZiXKMWT Behind the scenes, a dedicated 64+ days of manual work were invested in creating these 'AI Covers', including audio editing, AI filtering, AI model training, audio mixing, post effects and video creation, to ensure a premium experience. This is purely an experimental hobby side project, done for the love of music and as a fan, not a commercial project. [Note: All videos are free from monetization. No ads, and any potential revenue only supports the original song copyright holders through YouTube's Content ID system.] #WildAccents #AICovers #MusicInnovation #UnleashTheSound

Feel free to check out the new "Southern Rebel" playlist of 'AI Covers' on "Wild Accents", where the magic of premium 'AI Covers' breathes new life into both chart-topping hits and hidden gems. Discover the harmonious fusion of technology and music. Unleash your curiosity and dive into the enchanting 'AI Covers' featured in the "Southern Rebel" playlist. 🎧 Here is a link on YouTube: https://lnkd.in/eZiXKMWT Behind the scenes, a dedicated 64+ days of manual work were invested in creating these 'AI Covers', including a lot of audio editing, AI filtering, AI model training, audio mixing, post effects and video creation, to ensure a premium experience. This is purely an experimental hobby side project, done for the love of music and as a fan, not a commercial project. [Note: All videos are free from monetization. No ads, and any potential revenue only supports the original song copyright holders through YouTube's Content ID system.] #WildAccents #AICovers #MusicInnovation #UnleashTheSound

It's time we start using AI and data analytics to start helping freelancers. Here's how the MEDIO #freelance platform for #creatives is helping #audio pros create beats unique to the individual audio freelancer's profile.

Audio as an art and communication form is 35,000 years old. From the first ever sound recording to the first electrical music recording, and the first digital recording, the audio industry has seen astronomical advancements. Today, technology is bound to change the music industry forever, with the revolutionary introductions of artificial intelligence. Sony’s Computer Sciences Lab created the first AI song last year. So we thought, if AI could create a song for Sony, how can it help freelance audio pros Medio captures social media and music industry data to help audio pros understand trends across the global audio ecosystem and then using AI, it creates sound bits to help audio pros write trending beats unique to their sound profile. So they don’t ever miss a beat. #audio #sound #songs #soundengineer #sound #recording #music #ai #artificialintelligence #media #medio #freelance #freelancer #audiofreelancer #gig #platform #pink #beats #soundbites #art #communication #coms #futuretechnology #future #wednesday #wednesdaymotivation

Excited to share my latest project: a Song Source Separator! 🎵 Ever thought of creating your own acapellas or remixing tracks by removing specific instruments? This is exactly what a song source seperator does! 🔗 In this article, I share the journey of building this tool, the challenges I tackled, and how I overcame them: https://lnkd.in/gFdQkMpc 🔗 Dive into the details and explore the code on GitHub: https://lnkd.in/gurYF-Ab Feel free to take a look and suggest any improvements! But what is audio source separation and why is it needed? Being a music enthusiast, I had often found myself in the need to be able to remove an instrument track from the original song. I required this so that I can play along the track while I play a certain instrument (say guitar or drums) while the actual instrument track is absent in the song. This problem is called audio source separation, since we are splitting the source track into its constituent tracks that add up to make the music. This problem is solvable by using audio engineering tools, but requires experience and expertise. There are also tools available specifically for this task, but most of the good ones are paid. Some good samaritans also perform this on the songs they wish and upload the resulting tracks online. I am usually at the mercy of these people on the internet to be able to get a guitarless or drumless track for a song that I want to cover. So I thought why not use machine learning to automate this task instead of learning the tedious process and gaining the audio engineering skills that take a long time to master. Don’t forget the expensive audio tools that are required to do this as well! This solved two problems - 1. I could make an actual project to improve and showcase my skills in the field of machine learning. 2. I could also have a tool to be able to generate individual stems of songs or remove specific stems from the song myself! So I looked it up and as I expected, this was an area of active research! I found multiple ways of performing this task and multiple research papers discussing the improvements in these techniques. Since I was new to the field of machine learning and making my first “real” project, I chose a method that was both understandable to me and one that I could follow through in implementation. #MachineLearning #MusicProduction #AudioEngineering #AI #OpenSource #Remix #VocalIsolation #Stems #Developer #Project

Quite an interesting read. 👏

🚨Paper Alert 🚨 ➡️Paper Title: DIFF-A-RIFF: MUSICAL ACCOMPANIMENT CO-CREATION VIA LATENT DIFFUSION MODELS 🌟Few pointers from the paper 🎯Recent advancements in deep generative models present new opportunities for music production but also pose challenges, such as high computational demands and limited audio quality. 🎯Moreover, current systems frequently rely solely on text input and typically focus on producing complete musical pieces, which is incompatible with existing workflows in music production. 🎯To address these issues, authors have introduced "Diff-A-Riff," a Latent Diffusion Model designed to generate high-quality instrumental accompaniments adaptable to any musical context. 🎯This model offers control through either audio references, text prompts, or both, and produces 48kHz pseudo-stereo audio while significantly reducing inference time and memory usage. 🎯Their approach relies on a pretrained consistency model-based Autoencoder (CAE) and they have trained a generative model on its latent embeddings. The proposed generative model is a LDM following the framework of Elucidated Diffusion Models (EDMs). The architecture follows DDPM++, an upgraded version of the originally proposed Diffusion Probabilistic Model. 🎯 Authors validated "Diff-A-Riff" through comprehensive evaluations, assessing its performance in ablation studies using objective metrics, and they also compare it to other models and estimate context adherence using subjective listening tests. 🏢Organization: Sony CSL (Paris), Queen Mary University of London, UK 🧙Paper Authors: Javier Nistal Hurlé, Marco Pasini, Cyran AOUAMEUR, Maarten Grachten, Stefan Lattner 1️⃣Read the Full Paper here: https://lnkd.in/gwErMNy3 2️⃣Project Page: https://lnkd.in/gXJW-4yT 🎥 Be sure to watch the attached Video-Sound on 🔊🔊 Find this Valuable 💎 ? ♻️REPOST and teach your network something new Follow me 👣, Naveen Manwani, for the latest updates on Tech and AI-related news, insightful research papers, and exciting announcements.

The tech industry is trying to automate art. Be it visual art, filmmaking, novel-writing, or music, Silicon Valley “innovators” seem convinced that consumers just can’t tell the difference between work created by a passionate, human creative, and automated content delivered via soulless algorithm. It’s a terrible view of the world but here we are. This week, an AI music platform called Udio beta launched, generating some buzz online. Like most AI music distributors, Udio’s platform is full of acoustical nonsense. Udio says that its platform allows “anyone to create extraordinary music in an instant,” which seems untrue unless by “extraordinary” they meant “extraordinarily bad.” That said, most of the “songs” on the platform are mercifully less than a minute long. The platform is currently over capacity for making new tracks but we scrolled through what other users have made with Udio and found some of the most notably deranged tracks produced by its software. Apologies in advance. Source link By Nakisisa George

Create videos with text prompts! Publish-ready videos with zero video creation skills. Type any topic and invideo AI creates a video with script, visuals, subtitles, voiceover & music. 👉 👉 https://bit.ly/3VT6eUq #invideo #ai #aivideo #voiceclone #AiInvideo

🎵 Ever felt challenged by generating music audio using text-to-audio techniques? You're not alone! 📖 Hiromu Yakura and Masataka Goto tackle this in their innovative paper, "IteraTTA: An Interface for Exploring Both Text Prompts and Audio Priors in Generating Music with Text-to-Audio Models". 💡 They introduce IteraTTA, a user-friendly interface that takes the mystery out of music generation. It provides computational guidance, enabling you to construct initial prompts and iteratively refine the generated audio. And the secret ingredient? A novel technique of audio priors! 🎧 🔄 The result? A dual-sided iterative exploration of text prompts and audio priors. Now you can turn your text prompts into beautiful music and continually refine the sound by exploring different audio priors and adjusting your prompts. It's like having a music studio at your fingertips! 🎚️🎹 🔍 Curious to learn more about this groundbreaking approach to music generation? Dive into the full paper. Link in the comments! 📲 #MusicGeneration #AI #TextToAudio #IteraTTA