AI Audio News

SonicVisionLM can generate sound effects for videos. It uses vision language models (VLMs) to identify events within videos and generate sounds that match the video content.

It turns out that an artificial deep neural network that models auditory information in the brain spontaneously creates units tuned to music, even without learning music directly

Introducing ‘Text to Music’ on http://beatoven.ai.  Now get more creative control on background music for your content.

Meta

MAGNeT : AI from META to generate music on your Mac Silicon

MAGNeT is a text-to-music and text-to-sound model capable of generating high-quality audio samples conditioned on text descriptions. It is a masked generative non-autoregressive Transformer trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.

Examples: https://twitter.com/rowancheung/status/1747845930491990042  

This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices.https://paul.mou.dev/posts/2023-12-31-listening-with-llm/

Be Sure To Read “This Week in AI

This week’s executive overview and top links are here:
AI News #16: Week Ending 01/19/2024 with Executive Summary and Top 16 Stories

This is an extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these links come from just a few incredible sources.  Please follow them:

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