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Soundmit 2023: Italy’s premier electronic music technology show

Soundmit 2023 premier electronic music technology show

Soundmit the international trade show focused on synthesizers, electronic musical instruments, and related software and hardware. Takes place next month offering a range of exhibitors, from major companies to independent builders, showcasing their latest products. Offering music enthusiasts a venue where attendees can try out new gear, attend workshops, and interact with industry professionals. If you are a musician, producer, sound designer or enthusiasts who is interested in electronic music and sound technologies, make sure you get to Italy and the Soundmit 2023  electronic music technology show. For more information jump over to the official website.

If you’re deeply invested in the realm of electronic music technology, you’ll be pleased to know that Italy is setting the stage once more for Soundmit 2023. This premier expo is a veritable candy store for enthusiasts of synthesizers, modular setups, digital audio workstations, and so much more. So mark your calendars for November 11-12, because Turin is the place to be for anyone passionate about the craft and technology of sound.

Soundmit has, over the years, positioned itself as an essential hub for innovation in the world of electronic musical instruments. This year, the 13th edition is pulling out all the stops. The event’s widespread appeal is evident in its international character, hosting exhibitors from over 15 countries. This diversity promises a rich tapestry of the latest trends, whether you’re a casual hobbyist or a seasoned music producer. From fresh modular synth modules to the newest digital audio plugins, the floor will be a panorama of what the industry has to offer.

Soundmit 2023

You’ll find the event housed at Toolbox Co-working, a location that garnered acclaim in its previous stint as the Soundmit venue. Within these spaces, your auditory senses will be treated to live performances, specialized workshops, and masterclasses from international guests. But that’s not all:

  • Learning Opportunities: In a new collaboration, the Audio Engineering Society’s Italian section will be organizing specialized seminars. Whether you’re a fledgling audiophile or an industry veteran, there’s something to add to your wealth of knowledge.
  • Networking: With a broad network that includes the Italian Trade Agency, Arduino, and SynthFest France among others, your opportunities for industry networking are practically limitless.
  • Inclusion and Diversity: Soundmit has made a conscious effort to promote gender balance within the music industry. It’s an active participant in the Keychange.eu commitment, focusing on empowering underrepresented talents.

Electronic music technology show

Now, if you’re wondering how you can stay updated on this fascinating buffet of sound and technology, subscribing to Soundmit’s newsletter is your golden ticket. You’ll get the lowdown on the event, exclusive program insights, and early-bird access to ticket sales. The expo also has a commitment to social issues; it’s a proud signatory of the Keychange.eu pledge, aimed at fostering a more inclusive music industry.

In the grand tapestry of events that cater to music technology, Italy’s Soundmit holds a unique position. It serves not just as a global crossroads for the latest in sound tech but also as a crucial cog in Italy’s own claim to fame in the sector. If you are enthusiastic about innovative music technology, remember, the 13th edition of Soundmit is not just an event; it’s an experience.

Get ready for a whirlwind two days of innovation, inspiration, and entertainment this November in Turin. Missing out on Soundmit 2023 would be like skipping a major chord in a harmonic progression—a glaring omission in your annual tech-savvy calendar.

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How AI is transforming the music industry

How AI is transforming the music industry with voice cloning lyrics beats and more

Whatever your opinion of artificial intelligence might be—whether you consider it a tool to enhance innovation or believe that AI is destroying creativity—large language models (LLMs) and diffusion-based generative models are here to stay. They are developing and expanding on a daily basis, being used in a variety of ways to create music, song lyrics, beats, tunes, and even complete songs with vocals and music videos, all created by AI. In this guide, we take a look at how artificial intelligence is changing the music industry, featuring technologies such as voice cloning and tune creation, with the likes of Stability AI’s new audio creation tool, Stable Audio.

AI’s role in creating new songs, generating lyrics, and crafting melodies has been a game-changer, reshaping the landscape of music creation and performance. However, this technological revolution has not been without its controversies and debates, particularly around the potential “death of music,” effects on musicians’ income, and the implications for artistic expression.

Stable Audio

Stability AI’s mission for its Stable Audio music generation product is to empower creators with tools that aid musical creativity. Enabling anyone to create original music for commercial projects if you’re a Pro user, or your non-commercial projects if you’re a Basic tier user.

AI’s influence on music creation is far-reaching, with tools like ChatGPT for lyrics and Google’s MusicLM for melody creation being embraced by musicians. These tools have the potential to revolutionize the music creation process by shrinking “the gap,” or the difference between a creative idea and a tangible creation. The ability to generate new songs, lyrics, and melodies in seconds using AI voice cloning has opened up new avenues for creativity. However, this also raises questions about authenticity and the potential for ‘fake collaborations’ that could mislead fans.

How AI is transforming the music industry

Check out the video below to learn more about how artificial intelligence is transforming the music industry. Is it a good thing or a bad thing?  I think only time will tell as AI tools and technologies are still being developed and new innovations are being released on a daily basis.

Google Music LM

Google has made significant strides in the melding of artificial intelligence with music through its MusicLM technology. MusicLM is particularly fascinating as it brings the ability to generate high-fidelity music from text-based descriptions. Imagine a textual input like “a calming violin melody backed by a distorted guitar riff,” and MusicLM can turn this description into a real, listenable musical piece.

It operates as a hierarchical sequence-to-sequence model, capable of generating music at an impressive 24 kHz and sustaining a consistent musical environment over extended periods. The technology manages to outperform prior systems in terms of both audio quality and faithfulness to the text description, marking a remarkable advancement in conditional music generation.

Adding another layer of versatility, MusicLM isn’t just limited to text; it can also condition its musical output based on both text and a melody. This means that hummed or whistled tunes can be transformed to align with the style or mood described in a textual caption.

Such a feature opens up boundless possibilities for personalized music creation, be it for professional musicians looking to flesh out a musical idea or for enthusiasts who simply want to experiment. To facilitate ongoing research in this arena, Google has also publicly released MusicCaps, a dataset that comprises 5.5k music-text pairs, complete with in-depth text descriptions curated by human experts.

Is artificial intelligence going to be the death of music?

The debate around AI causing the “death of music” is a contentious one. Some industry insiders, including artist Grimes and the CEO of Spotify, see AI as a tool that can enhance creativity and uncover unknown musical talent. They argue that AI can help democratize music creation, making it more accessible to a wider audience. On the other hand, critics argue that AI’s prevalence could potentially affect how human musicians earn and create art, leading to a decrease in opportunities for artistic expression.

This debate extends to the controversial aspects around AI music like voice cloning. While some artists are embracing the technology, others express concern over its use, fearing that it could lead to a loss of individuality and originality in music. The complexities surrounding copyright with regards to AI-created music further complicate the issue. Should artists get paid if an AI is trained on their music? This question forms the crux of many legal disputes and lawsuits, as the line between copyright infringement and taking inspiration becomes increasingly blurred.

AI music creation as a tool

The existential question regarding AI as an artist is another point of contention. Can an AI, capable of autonomously creating large quantities of music, be considered an artist? Or is it merely a tool, a means to an end for human artists? This question challenges our traditional understanding of art as a form of human expression, and the answers are far from straightforward.

The music industry, as it currently stands, faces potential future changes as it grapples with these issues. The belief in music as human expression is being tested, as AI continues to push the boundaries of what is possible in music creation. The complexities surrounding payment for AI-created music, copyright issues, and the role of AI as an artist present challenges that the industry must navigate.

AI’s transformation of the music industry is a complex and multifaceted issue. While AI offers exciting possibilities for music creation and discovery, it also raises significant ethical and legal questions. The industry’s future will likely be shaped by how these questions are answered and how the balance between technological innovation and respect for artistic integrity is maintained.

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Stable Audio AI music creator – TIME Best Inventions of 2023

Stable Audio AI music creator makes TIME Best Inventions of 2023 list

Stable Audio the AI music creator developed by Stability AI has earned a place on TIME’s Best Inventions of 2023 list, demonstrating the immense potential of generative AI in the realm of music and sound generation. Stability AI, a pioneer in open generative AI, launched Stable Audio in September 2023.

This unique product utilizes state-of-the-art generative AI techniques to generate high-quality music and sound effects swiftly and efficiently, all via a user-friendly web interface. Stable Audio offers a basic free version that can generate and download tracks up to 45 seconds long, along with a ‘Pro’ subscription that delivers 90-second tracks suitable for commercial projects.

This innovative product is a boon for musicians looking for unique samples for their work, but its potential extends far beyond that. Stable Audio generates audio tracks in response to descriptive text prompts supplied by the user, along with a specified length of audio. This flexibility opens up limitless opportunities for creators across various fields.

AI audio and music generation

At the heart of Stable Audio is a diffusion-based generative model, specifically a latent diffusion model. These models have substantially advanced generative AI, especially in the creation of images, video, and audio. By operating in the latent encoding space of a pre-trained autoencoder, latent diffusion models offer significant speed improvements in training and inference of diffusion models.

Stable Audio, a product of Stability AI’s generative audio research lab, Harmonai, leverages this technology to generate high-quality, 44.1 kHz music for commercial use. The model is conditioned on text metadata, audio file duration, and start time, allowing for control over the content and length of the generated audio.

One of the challenges with audio diffusion models is their training to generate fixed-size output. This issue can be problematic when generating audio of varying lengths. Stable Audio addresses this challenge by using a dataset of over 800,000 audio files, equating to over 19,500 hours of audio. This extensive dataset significantly improves output quality, controllability, inference speed, and output length.

Stable Audio example

As an example entering “Post-Rock, Guitars, Drum Kit, Bass, Strings, Euphoric, Up-Lifting, Moody, Flowing, Raw, Epic, Sentimental, 125 BPM” for a 95-second track and will create the results in the YouTube video below. What are your thoughts? Leave your comments below.

Other articles we have written that you may find of interest on the subject of Stability AI and its technologies harnessing the power of artificial intelligence :

Stable Audio’s model architecture consists of a variational autoencoder (VAE), a text encoder, and a U-Net-based conditioned diffusion model. The VAE compresses stereo audio into a data-compressed, noise-resistant, and invertible lossy latent encoding for faster generation and training.

The model is conditioned on text prompts using the frozen text encoder of a CLAP model trained from scratch on the dataset. Timing embeddings are calculated during training time, providing information about the start time and overall duration of the original audio file. These values are translated into per-second discrete learned embeddings and concatenated with the prompt tokens before being passed into the U-Net’s cross-attention layers.

The diffusion model for Stable Audio is a 907M parameter U-Net based on the model used in Moûsai, using a combination of residual layers, self-attention layers, and cross-attention layers to denoise the input conditioned on text and timing embeddings.

The future of generative audio

Stable Audio’s recognition by TIME as one of the best inventions of 2023 is a testament to the potential of generative AI in music and sound generation. As Emad Mostaque, CEO of Stability AI, expressed, the company is excited to use their expertise to support music creators. With Stable Audio, music enthusiasts and creative professionals can generate new content with the help of AI, leading to endless innovations in the field.

Stable Audio is not just an AI music creator; it is a symbol of the transformative power of generative AI. Its recognition on TIME’s Best Inventions of 2023 list is a significant milestone, marking the dawn of a new era in music and sound generation.

“As the only independent, open and multimodal generative AI company, we are thrilled to use our expertise to develop a product in support of music creators,” said Emad Mostaque, CEO of Stability AI. “Our hope is that Stable Audio will empower music enthusiasts and creative professionals to generate new content with the help of AI, and we look forward to the endless innovations it will inspire.”

Tryout Stable Audio for yourself and create music using AI by simply entering prompts such as “Trance, Ibiza, Beach, Sun, 4 AM, Progressive, Synthesizer, 909, Dramatic Chords, Choir, Euphoric, Nostalgic, Dynamic, Flowing”

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Make AI music, lyrics, sound effects and speech with Suno AI

Suno AI lets you easily create music, sound effects and speech

If you are interested in learning how to transform text into songs and music or make special effects or synthesizing speech using AI tools you may be interested in a new AI model available to use on Discord. Suno AI models has been specifically designed to enable creatives and developers to generate hyper-realistic speech, music and sound effects, “powering personalized, interactive and fun experiences across gaming, social media, entertainment and more” say it’s creators.

Suno AI, is currently in its beta release stage of development and is available to use on Discord. It is designed to empower creatives and developers, enabling them to generate hyper-realistic speech, music, and sound effects. This has the potential to power personalized, interactive, and fun experiences across various platforms, including gaming, social media, entertainment, and more.

This groundbreaking AI music tool that can generate songs from scratch, including writing lyrics, creating the beat, and recording the voice. This innovative tool is available for a free trial at suno.ai, and can also be accessed via Discord, a popular communication platform. The basic plan is free and provides 250 credits per month, with each song generated costing 10 credits. This allows users to experiment with the tool and explore its capabilities without any financial commitment.

How to create music with Suno AI

Watch the video below kindly created by Future Tech Pilot  for an overview of how you can use Suno to easily make songs, lyrics and music using this new AI technology. When using Suno AI on Discord, users can generate songs either publicly or privately by sending a direct message to the bot. The process is straightforward: users input the style of music and lyrics or a subject for the bot to generate lyrics about. The bot then uses this information to generate a unique song, known as a ‘chirp’

Other articles you may find of interest on the subject of AI music creation and songwriting :

Create different AI music styles

The tool allows for experimentation with different music styles and subjects, providing two versions of each song generated. This gives users the freedom to explore various musical genres and themes, fostering creativity and innovation. Moreover, users can continue a song for several verses after it’s generated, and the tool can put the entire song together at no extra cost. This feature allows for the creation of longer, more complex compositions.

However, it’s important to note that the quality of songs generated by Suno AI can be hit or miss. The tool is still in its early stages of development, and while it has shown great potential, it may not always produce satisfactory results. Some ‘chirps’ may not meet the user’s expectations in terms of quality or creativity. However, with continued use and experimentation, users can learn to harness the tool’s capabilities more effectively.

Suno AI Pricing

In terms of pricing, Suno AI offers a free trial and subscription plans. The free trial allows users to test the tool and get a feel for its capabilities. After the trial period, users can choose to subscribe to a plan that best suits their needs. The basic plan is free and provides 250 credits per month, with each song generated costing 10 credits. This makes Suno AI an affordable option for creatives and developers looking to experiment with AI-generated music.

Suno AI is a promising tool that is pushing the boundaries of music creation. It offers a unique platform for creatives and developers to generate hyper-realistic speech, music, and sound effects. While it is still in its beta release stage of development, and the quality of its output can vary, it offers a unique opportunity for experimentation and creativity. With its free trial and subscription plans, it is accessible to a wide range of users. As it continues to evolve and improve, it is expected to play a significant role in the future of music and sound creation.

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