Pages

Wednesday, 17 May 2023

Music LM by Google: A Powerful Tool for Music Creation

Music LM by Google-symbolic image
Introduction

Music LM is an AI project backed by Google that generates high-quality music based on textual descriptions. It aims to produce music that adheres to specific textual cues and can generate several minutes of coherent audio at a sampling rate of 24K Hertz.

What is Music LM?

Music LM is an AI project backed by Google that generates high-quality music based on textual descriptions. It can generate music in a variety of genres, including classical, jazz, rock, and pop. Music LM can generate music at 24kHz, which means that the generated audio is high quality. Music LM is still under development, but it has the potential to revolutionize the way we create and listen to music.

Key Features of Music LM

Music LM's extensive research and data sets make it superior to other music generation projects. Its adherence to textual description ensures that generated music captures intended style, mode, and specific music elements described in rich captions. Rich textual descriptions result in high-quality generative audio. Story mode audio feature generates model that continues somatic tokens derived from previous captions. Music LM can generate up to five-minute-long music pieces.

Notable Achievements

Music LM surpasses previous systems in terms of audio quality and the ability to adhere to a given text description. It can generate music based not only on textual prompts but also accommodate melodies associated with the prompt. The model can transform something given through a whistle or hum melody into an output using a textual caption provided in the input of the system. Music LM can generate longer audio inputs from even one word of textual prompts. Music LM generates different types of audio based on the inputted text prompts. The generated content is diverse and can be tweaked to give a different output.

Music LM's Audio Generation Capabilities

Music LM generates different types of audios relating to the actual story, replicating a type of way or mood. Melody conditioning can be obtained from textual prompts, allowing for tweaking with different inputs. Different embeddings can be added to the actual audio file, including painting caption conditioning and image generation.

Publicly Available Data Set

A publicly available data set called "Music Caps" consists of 5,500 different music samples where human experts have provided rich text descriptions. The dataset has been released on Kaggle and can be used by other researchers who want to explore advancements in their field of text-based music generation. Each of the captions in the dataset describes the music with four sentences and is followed by a list of music aspects such as genre, mood, rhythm, etc. The dataset has been used to train MusicLM, which has been trained on 5 million audio clips (a total of 280,000 hours of audio) and has been shown to outperform previous models in terms of audio quality and text faithfulness.

Accessing the Demo

To access the demo, go to Google's AI Test Kitchen and click on "Music LM." You will need to sign up for a waitlist and answer questions about your intended purpose of using Music LM.

Examples of Textual Prompts

The main soundtrack of an arcade game is fast paced with a catchy electric guitar riff and unexpected sounds like cymbal crashes or drumrolls.

An R&B hip-hop music piece with male rapping and female singing in a rap-like manner. The beat is comprised of piano playing with chords in tune with an electric drum backing. The atmosphere is playful and energetic.

These examples include five-minute pieces produced from only one or two words like melodic techno, as well as 30-second samples that sound like entire songs and are formed from paragraph-long descriptions that prescribe a genre, vibe, and even specific instruments.

In addition to the information presented in this article, I have added links to examples, dataset, and demo under the 'Source' section at the end of the article. These links provide additional information about Music LM and allow you to explore its capabilities further. I hope you find this information helpful!

Commercial Use of Music LM

The researchers who developed Music LM have not yet released any specific terms and conditions for commercial use. However, it is likely that they will require users to obtain a license before using Music LM for commercial purposes. The license agreement will likely specify the terms of use, such as the maximum number of users who can access Music LM, the types of commercial activities that are permitted, and the fees that will be charged.

When utilizing the Music LM for commercial purposes, it is crucial to bear in mind that the researchers retain the right to modify the terms and conditions at their discretion. Thus, it is of utmost importance to stay updated and review the most recent terms and conditions prior to engaging in any commercial use. By staying informed about potential changes, you can ensure compliance with the latest guidelines and maximize the benefits derived from the Music LM in your commercial endeavors.

Conclusion The Music LM stands as a formidable instrument with the capability to transform the landscape of music creation and consumption. It offers accessibility to individuals of all musical aptitudes, enabling them to craft exceptional music across diverse genres. Although still in the developmental phase, the Music LM has already achieved remarkable advancements and harbors the potential to leave an indelible mark on the music industry for eternity.

source research paper - https://arxiv.org/abs/2301.11325 dataset - https://www.kaggle.com/datasets/googleai/musiccaps wait list - https://aitestkitchen.withgoogle.com/experiments/music-lm/ examples - https://google-research.github.io/seanet/musiclm/examples/

No comments:

Post a Comment

Qwen2.5-Coder: Advanced Code Intelligence for Multilingual Programming

Introduction Code models have improved by leaps and bounds and now take on much more with higher accuracy levels. At the beginning, they exp...