ЛУЧШАЯ НЕЙРОСЕТЬ ДЛЯ СОЗДАНИЯ МУЗЫКИ В 2024! Пошаговая инструкция...

Summary

This video tutorial explores the creation of music using neural networks in 2024. The host guides viewers through the process of generating a song from scratch with artificial intelligence, focusing on rhythm, melody, and lyrics. They introduce services like Sraw and Refusion, highlighting their unique features and interfaces. The video demonstrates how to use these platforms to create music of any genre, customize track details, and edit compositions. It also covers sound processing with AFC to enhance recording quality by reducing echo and noise, and aligning audio tracks by volume. The host tests these services, providing insights into their effectiveness and offering tips for optimal results, concluding with a reminder to subscribe for more informative content.

Takeaways

• 🎵 The video discusses creating music with neural networks in 2024, aiming to generate a song from scratch using artificial intelligence.
• 🤖 It mentions that neural networks were previously used for supplementing existing tracks or creating music based on given melodies, but now services allow for generating tracks from scratch in any genre.
• 🌐 The video introduces services like 'Sraw' and 'Refusion' as top options for creating music with unique capabilities and interfaces.
• 🎼 'Sandra' is highlighted as a free AI-based service that allows creating music in almost any genre with options to select duration, emotion, tempo, and instruments.
• 🛠️ The 'Sandra' service interface is described as very simple and intuitive, with features to edit and duplicate musical sections, adjust track length, BPM, and instrument volume.
• 🔄 The script explains the concept of 'loops' in music, which are repeated sections of a track that typically last 5 to 10 seconds.
• 🎹 The video demonstrates how to use the 'Sandra' service to create music, including adjusting the mood and listening to the generated tracks.
• 🎚️ Another service, 'AFK', is introduced for sound processing, which can improve recording quality by removing echo, noise, and normalizing volume without professional software.
• 🔊 The 'Refusion' service is presented as capable of generating music based on a text prompt and singing the provided text to music, with options to remix existing tracks.
• 📝 The importance of translating text into English for the 'Refusion' service is emphasized, as it cannot sing in Russian.
• 🎉 The video concludes with a reminder to subscribe to the channel for more useful information.

Q & A

What is the main topic of the video?

The main topic of the video is creating music using neural networks in 2024, with the aim of generating a song from scratch using artificial intelligence.

What are the services mentioned in the video for creating music with neural networks?

The services mentioned in the video for creating music with neural networks are Sraw and Refusion.

What features does the Sraw service offer for creating music?

The Sraw service offers features such as creating music in almost any genre, selecting track duration, emotion, tempo, choosing necessary instruments, and editing the generated compositions.

How does the process of creating music on the Sraw service begin?

The process begins by selecting preferences for the track, such as duration and tempo, choosing a genre, and then the neural network starts creating fifteen different tracks.

What is the term used for the part of the track that includes a set of various instruments and forms a piece of the melody?

The term used for this part of the track is 'loop'.

How can the user modify the generated music on the Sraw service?

The user can modify the generated music by duplicating or removing loops, changing the length of the track, adjusting the BPM, and editing the volume of each sample.

What is the purpose of the AFK service mentioned in the video?

The AFK service is used to process and improve the quality of sound recordings by removing echo, noise, and balancing sound tracks in terms of volume without the need for professional software or sound design knowledge.

What are the main features of the Refusion service for generating music?

The Refusion service allows generating music based on a textual prompt and also has the capability to sing the user's text to music.

How does the user generate music with the Refusion service?

The user inputs their text for the song lyrics and provides a prompt or description for the music. The service then generates the music based on the input.

What are the possible download options for the generated music on the Refusion service?

The download options include downloading separate tracks for vocals and music, downloading a single file with both, or downloading the music along with a video.

What additional tool is suggested in the video for creating rhyming lyrics?

The video suggests using a neural network that writes rhyming texts, specifically mentioning the use of a chatbot named 'gpt' for generating lyrics.

What is the significance of the 'ftng' parameter in the AFK service?

The 'ftng' parameter in the AFK service is responsible for echo removal and generally helps in cleaning up the voice by reducing echo effects.

What advice is given in the video regarding the noise reduction settings in the AFK service?

The advice given is not to rely solely on noise reduction and to initially try to record sound with good quality. For noise reduction settings, it is recommended to set the third parameter to medium as it works well for noise reduction without significantly affecting the overall sound quality.

How does the video demonstrate the effectiveness of the AFK service in normalizing volume?

The video demonstrates this by showing the results of processing a recording with varying volume levels, highlighting how the service adjusts the volume to make it more consistent and less harsh on the ears.

What is the video's conclusion about the quality of music generated by the neural networks?

The video concludes that while the generated music is not perfect and still has room for improvement, it is a good starting point for those who are new to creating music with neural networks.