Audio.co (formerly RadioNewsAI) vs MusicLM

Audio.co is Aiir's broadcast audio platform for creating ready-to-air content for radio stations and podcasts. From one dashboard, stations can produce newscasts, commercial spots, weather reports, and traffic updates, all voiced and formatted for on-air use. Plans start at $19 per month.

The news module pulls stories from websites or RSS feeds and rewrites them with scripting models trained on your station's style. When sources publish new content, scheduled newscasts refresh automatically, with finished files delivered via download link, Dropbox, or FTP to your playout system.

Ad production is built for quick spec spots and full campaigns. Describe a client's business, pick an AI voice or clone a permitted talent, and Audio.co pairs the script with a music bed from TM Studios' production library before assembling the finished commercial.

Weather and traffic round out the toolkit. Forecasts use WeatherAPI data with support for postal codes, ZIP codes, or latitude and longitude coordinates. Traffic reports cover a defined area with customizable incident counts and pronunciation rules for local road names.

MusicLM is a Google Research audio generation model that creates music from text captions at 24 kHz. The public examples page hosts sample clips for prompts like arcade soundtracks, reggaeton-EDM fusions, and relaxing jazz, plus longer story-mode generations that shift styles across timed segments. Google released the MusicCaps dataset of 5,500 music-text pairs alongside the paper.

Unlike consumer apps that ship one prompt box, MusicLM was published as a research demo with pre-generated samples rather than a login product. Its headline trick is joint text-and-melody conditioning: you can hum or whistle a tune and have the model re-render it in a new genre described in text. Story mode chains multiple captions so the music evolves across sections.

MusicLM matters as the research foundation behind Google's later Lyria music models, but this page is for listening to published examples, not creating new tracks interactively. Researchers and musicians study it for long-form consistency, painting-to-music conditioning, and melody transfer results documented in the 2023 paper.