Exploring AI Music Generation: 5 Text-to-Music Tools
Introduction:
The year 2023 marks the dawn of a new era, one characterized by the extraordinary potential of artificial intelligence. From chatbots and text-to-image generators to one-click video production, AI is rapidly reshaping our world. At the forefront of this transformation is OpenAI’s Chat GPT, a language model developed under the guidance of Silicon Valley visionary Sam Altman. Chat GPT, a linguistic marvel, has heralded a renaissance in AI development, bringing us to a pivotal juncture. Here, we pose a question: Could AI technology replace traditional websites like Google in the future? Although the response from the machines may be uncertain, Google’s recent activities have painted a clear picture. Years ago, Google established a dedicated division for the research and development of AI technology. Under its umbrella, Imagen provides the ability to turn text into images, modify visuals using text, and even convert text into videos. Another tool, MusicLM, has the capability to transform text into various genres of music. While some of these services remain in the development stage, they underscore the significance of AI technology to major internet corporations.
Exploring AI Music Generation Tools
In previous articles, I introduced a variety of AI applications. Today, we’ll delve into the future of AI-generated music by exploring five cutting-edge text-to-music tools. These tools have the potential to reshape the music industry and redefine copyright, making them a game-changer for content creators and self-media professionals. Now, let’s explore it.
1,Riffusion: Transforming Text into Music
Riffusion is an AI model created by two music enthusiasts. It employs the Stable Diffusion image model to generate audio waveforms. Riffusion transforms these sound waveforms into audio using Torchaudio for playback. You can think of Riffusion as a waveform recognition tool, converting multiple waveforms into audio. When you visit Riffusion.com, you’ll notice the website’s clean design. On the left side, there’s a dynamic waveform, and below it, a text box where you can input a description. In the top-right corner, you’ll find a play button and various settings. For example, if you input “Copacabana beach” in the dialog, the system will generate a track. In practice, you may encounter issues like discontinuity and unclear audio quality. Keep in mind that Riffusion is still in its experimental stage, and its current performance may not meet expectations. However, I believe that applications like Riffusion will soon deliver excellent music. The Riffusion model can be downloaded from GitHub for those interested in testing it.
2,MuseNet: Composing Music in Various Styles
MuseNet is a deep neural network created by OpenAI. It can compose music with ten different instruments and in various styles, from country to Mozart. When you visit OpenAI and select MuseNet, you can listen to music generated using instruments such as the piano and guitar. Let’s try MuseNet: first, choose a music style, such as “Mozart,” and select a classic track. Then, choose the type of instrument. Afterward, click the generate button to listen to the results. In 2019, MuseNet even hosted a symphonic concert where all the music was composed by AI. If you’re interested, you can visit the official website to explore it.
3,MusicLM: Google’s High-Fidelity Music Generator
MusicLM, developed by Google, is considered one of the most powerful high-fidelity music generators. MusicLM offers a wide range of options. In the example of relaxing jazz, you can play a track created from text descriptions. MusicLM also provides a feature where you can adjust the text and melody. For example, you can listen to the “Ode to Joy” sung by a humming robot. MusicLM also supports text-to-image music generation, creating music based on scene descriptions in images. Moreover, MusicLM offers a variety of text-generated audio samples for you to explore. As of now, MusicLM is in the testing phase, and Google will release the model when the time is right.
4,Voicemod: Text to Song Generator
Voicemod is a free voice modulation tool widely used in the gaming community. Voicemod can transform your voice into various types of sounds. The “Text to Song” generator is a new feature introduced by Voicemod. You can create a song simply by entering text. Voicemod is easy to use: choose a template from the library, play it, and visualize the effect. After choosing a template, select a singer, customize the lyrics, and click the generate song button. Let me demonstrate how it works: I’ll select a template, play it, choose a singer, customize simple lyrics for a birthday song, and generate the song. The actual playback of Voicemod’s “Text to Song” is quite good. Currently, Voicemod is open for registration, and you can record songs using your Google account.
5,Mubert: Collaborative AI-Generated Music
Mubert facilitates collaboration between AI and musicians to create adaptive music. The platform features a vast music library, and AI matches users with diverse music based on their text descriptions. You only need to input text, like “Tokyo night LOFI,” set the music’s duration, select a genre, mood, and scene in the settings section. Once you’ve made your selections, click the “Generate Track” button. The system will generate a piece of music.
Conclusion:
In summary, while these AI text-to-music tools are currently in various stages of development, they offer a glimpse into the future of musical composition. As they continue to evolve and mature, they are destined to become indispensable creative instruments for musicians, producers, and content creators. The future of AI-generated music is bright and brimming with endless possibilities, promising a melodic revolution in the world of composition. Stay tuned for more on the forefront of AI technology and its transformative impact across diverse industries.
