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Dadabots is an AI-driven tool focused on generating death metal music through continuous neural network livestreams, aiming to innovate in the music creation space by automating the composition process.

How Dadabots can help you:

Provides an innovative approach to music creation.
Automates the composition of death metal music.
Offers continuous music generation via neural network livestreams.
Facilitates collaborations and scientific research in the realm of AI and music.

Why choose Dadabots: Key features

24/7 death metal music generation through neural networks.
Capability to automate the music writing process.
Opportunities for collaborations and live shows.
Engages in publishing scientific research on AI and music.

Who should choose Dadabots:

Music producers and composers interested in AI and automation.
Researchers and students in the field of AI, music, and neural networks.
Death metal enthusiasts looking for continuous and innovative music streams.
Individuals curious about the integration of AI in creative processes.

About Dadabots

Website

https://dadabots.com

Release Date

April 2024

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Deezer's new AI playlist producer challenges Spotify, Amazon, YouTube Music to a DJ battle

AI-curated playlists get a Euro remix with Deezer's new feature European music streaming service Deezer has turned to artificial intelligence to help users curate playlists. The new Playlist with AI feature produces a list of songs based on text prompts describing anything from a musical genre or time period to your current emotions or activities. Playlist with AI is currently in beta, with a random 5% of Deezer's subscribers selected to try the feature out. The company is likely eager to push it to more customers, though, as the idea of a text-to-playlist AI tool is rapidly spreading. Spotify's AI DJ, Amazon Music's new Maestro, and YouTube Music's AI-generated radio are all out or in their own testing phase. Like its rivals, Playlist with AI interprets text prompts provided by users using an AI model to cull the Deezer music library for appropriate songs, including ones the user has never played before. "We're excited to bring this AI-powered feature to Deezer users around the world," Deezer vice president of product Alexandra Leloup said in a statement. "Whether you need the perfect soundtrack for a workout, a romantic evening, or a nostalgic trip down memory lane, our Playlist with AI feature will curate a new musical experience within a matter of seconds, and offers endless possibilities to easily discover new music." Deezer has been playing with AI for a while now. Users can already use the Flow feature to compile AI-generated playlists, though those are limited to specific moods, genres, and songs previously added to a favorites list. There's also the AI-powered tune identification tool SongCatcher. AI-powered playlist creators will only heighten the rivalry among the platforms providing them. As personalized playlists become more popular, streaming services may treat them as a necessary, standard feature. There are broader implications for the music industry as well. AI-driven recommendations could help emerging artists gain exposure. By including lesser-known tracks that fit users' specified criteria, AI can introduce new talent to an audience that might never discover them otherwise. That's all to the good, except, of course, if the music labels pay to up the weight of their clients' music in the algorithms to play more often on more possible text prompts: a kind of post-modern Payola (the scandal when radio stations were secretly paid to play certain songs by record labels). That might ruin the personalization of the playlist and upset music fans if not done in an open, well-marked manner.

TechRadar

Thu, 18 Jul, 2:03 AM UTC

I tested out plenty of AI song generators, but this one strikes the right chord

Generative AI can now accomplish some remarkable feats -- look no further than ChatGPT or Midjourney for proof. But did you know it can make pretty decent music, too? That's right. You can pump out a new jam for your house party, advertising campaign, or ambiance in your YouTube video using AI song generators. There are so many options out there, but which should you use? After using several potential candidates, Suno became my favorite AI song generator.

Android Authority

Tue, 16 Jul, 2:06 PM UTC

AI Music Generation: India's Beatoven.ai Leads the Way in Ethical and Creative Approach

India's Beatoven.ai is making waves in the AI music generation industry with its innovative and ethical approach. Meanwhile, the global landscape of AI-generated music continues to evolve, raising questions about creativity and copyright.

2 Sources

Mon, 22 Jul, 4:02 PM UTC

What AI in music can -- and can't -- do

So much of the musical experience we take for granted today would have been unimaginable even 200 years ago: analog recording, electric amplification, digital distribution, and portable, streaming playback. Now, we have generative AI that can render text, still and moving images, and sounds from only a text prompt, whether that prompt comes from a skilled professional musician or a second grader. New AI music generators combine a variety of extant technologies behind a text interface, promising to imbue casuals with the gift of musical creation and streamline the process for accomplished musicians. Whether these applications are transformative or a passing novelty, they create an unavoidable tension: AI-generated music can expand the potential of human creativity, but in doing so, it could choke off the livelihoods of the musicians who make it possible.

Vox

Mon, 5 Aug, 2:00 PM UTC

AI Music Generator Model, FluxMusic To Bridge The Gap Between Language and Music Composition

With the help of AI generating, FluxMusic music is set to generate music by interpreting tune and genre from written description New AI based FluxMusic helps transform text description into music by leveraging advanced machine learning techniques to bridge the gap between language and music composition. It analyses the text with the help of AI generating music that best suits the textual description. Available on GitHub, the system employs multiple pre-trained text processing tools to capture subtle details within the description. This software functions by using AI to analyse meaning and emotion of given description. Then it applies a series of transformations to a blurry, noisy version of a song, refining it iteratively based on the text information. This process involves breaking down the music into patches and denoising them using techniques inspired by diffusion models. The architecture of FluxMusic integrates two models, CLAP-L and T5-XXL, as text encoders for the extraction of conditioned caption features. This dual approach enables the model to capture both coarse and fine-grained textual information effectively. By using multi-modal input handling, FluxMusic significantly enhances its capacity to comprehend and generate music that closely aligns with the provided textual descriptions. Operating within a latent space defined by mel-spectrograms, FluxMusic offers a more compact and meaningful representation of music. This method streamlines the process of noise addition, improving model training compared to traditional models that work directly with waveforms or less structured data representations. Moreover, FluxMusic's design accommodates a range of scalable model sizes, from a smaller version with 142.3 million parameters to a larger variant with 2.1 billion parameters. This scalability allows for adjustments in the number of layers and hidden dimensions, making it adaptable to various computational resources while preserving high performance. This flexibility is essential for researchers and developers looking to optimise their applications based on available hardware. The Rise of AI Music Generator FluxMusic is another addition to the market of AI led music composing programs. The world of AI music generation is brimming with innovation, with several platforms offering creative tools for musicians and music enthusiasts alike. Suno.ai is one such program that allows users to generate music by entering text descriptions, specifying genres, instruments, and moods. Suno.ai then creates original compositions based on these prompts. Unlike FluxMusic, it however cannot comprehend genre based on text description. Similar to Suno.ai, Udio takes user input in the form of text descriptions and generates royalty-free music. Users can choose from a variety of genres and moods to customise their desired output. Boomy is also a popular AI music generator that caters specifically to short-form content creation. Users can create royalty-free music loops and intros ideal for videos, podcasts, and social media content. FluxMusic and other AI music generators represent a significant step forward in this evolving field, offering exciting prospects for the future of music composition.Future research will focus on improving the efficiency and scalability of FluxMusic, potentially leading to even more impressive applications in music creation and personalised audio experiences.

Analytics India Magazine

Thu, 5 Sept, 12:14 PM UTC

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