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

NeuroArs

24 Mar 202408:09

Summary

TLDRThis 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.

Outlines

00:00

🎵 Creating Music with AI in 2024 🎵

This paragraph introduces the concept of creating music using neural networks in 2024. The video aims to generate a song from scratch with the help of artificial intelligence, covering rhythm, melody, and even lyrics. It mentions that neural networks were previously used for enhancing existing tracks or creating music based on given melodies. Nowadays, services like sraw and refusion allow anyone to generate music in any genre from scratch. The paragraph also highlights the features of the Sandra service, which is a free AI-based platform for creating music with various customization options such as genre, duration, mood, tempo, and instruments. The interface is user-friendly, and the service offers the ability to edit generated compositions. The video demonstrates the process of creating a track, including selecting preferences, genre, and mood, and listening to the generated tracks. It explains the concept of a 'loop' in music, which is a short segment of music that typically lasts 5 to 10 seconds and forms the basis of a melody. The paragraph concludes with the speaker preparing to listen to the first track generated.

05:02

🔊 Sound Processing with AI Services 🔊

The second paragraph discusses the use of AI services for sound processing. It describes a service that allows users to improve the quality of their recordings by removing echo, noise, and balancing the volume of sound tracks without the need for professional software or sound design knowledge. The speaker demonstrates the service by uploading a source and selecting the desired formats, showing how the interface, although initially seeming complex, is straightforward to use. The service can take audio from video and process it, offering options to adjust the bitrate and apply settings such as normalization, high-frequency filtering, and noise suppression. The speaker provides recommendations for noise suppression settings, advising against extreme values to maintain sound quality. They also mention a feature that can remove breathing sounds, which is still in development. The paragraph concludes with the speaker sharing the results of the sound processing, noting that while it's not perfect, it offers improvements over novice-level recordings. Additionally, the speaker mentions the use of a feature called 'ftng' for echo removal and overall sound clarity. The paragraph ends with a mention of the next neural network service, refusion, which is designed to generate music based on a text prompt and can also sing the user's text to music.

Mindmap

Keywords

💡Neural Networks

Neural Networks are a set of algorithms designed to recognize patterns. In the context of this video, they are used to generate music, including rhythm, melody, and even lyrics. The script mentions using neural networks to create music from scratch, which is a key concept in understanding the video's theme of artificial intelligence in music production.

💡Music Generation

Music Generation refers to the process of creating music using artificial intelligence. The video's theme revolves around this concept, showcasing how neural networks can be utilized to generate music pieces that are entirely composed by AI. The script provides examples of platforms like 'Sraw' and 'Refusion' that facilitate this process.

💡Sraw

Sraw is mentioned as one of the best services for neural network-based music creation. It is a unique platform with specific capabilities and an interface that allows users to generate music from scratch. The script describes it as a starting point for creating music using AI.

💡Refusion

Refusion is another service highlighted in the script for generating music with AI. It differs from Sraw by offering the ability to generate music based on a textual prompt and the capability for the neural network to sing the user's text to music, which is a significant aspect of the video's demonstration.

💡Artificial Intelligence

Artificial Intelligence (AI) is the broader field that encompasses neural networks and machine learning. In the video, AI is applied to the domain of music creation, with the script illustrating how AI can produce music, suggesting a future where AI plays a significant role in artistic endeavors.

💡Music Genre

Music Genre refers to a category of music that shares particular stylistic elements. The script mentions the ability to select the genre of the music to be generated, such as 'Trap' in the example provided, showing how the AI service can cater to different musical styles.

💡Loop

A loop in music production is a repeated sequence of notes or a musical phrase. The script explains that any track consists of parts that include a set of various instruments, forming a loop, which is a piece of melody that typically lasts about 5 to 10 seconds and is then looped.

💡Mood

Mood in music refers to the emotional quality or atmosphere conveyed by a piece. The script discusses the option to select the mood for the track, which is an important aspect of music generation as it influences the emotional impact of the music.

💡Sound Processing

Sound Processing involves manipulating audio signals to improve sound quality. The script describes a service that allows for sound enhancement, including removing echo and noise, and aligning sound tracks by volume, which is crucial for producing polished music.

💡Echo

Echo is a reflection of sound that arrives at the listener with a delay after the direct sound. In the context of the video, echo is mentioned as a sound quality issue that can be addressed through sound processing services to improve the clarity and quality of the music.

💡Noise Reduction

Noise Reduction is the process of decreasing unwanted noise in audio recordings. The script discusses the importance of noise reduction in enhancing the quality of music, suggesting that while it can be helpful, it should not be the sole method relied upon for high-quality sound.

💡Remix

A remix is a new version of a song that has been altered from its original form. The script mentions the possibility of creating a remix with one's own text, indicating that the AI-generated music can be further personalized and adapted by users.

Highlights

The video discusses creating music using neural networks in 2024.

Neural networks can generate rhythm, melody, and even lyrics.

Services like sraw and refusion are mentioned as top options for music creation with AI.

Sandra is a free AI-based service for creating music in various genres.

Sandra allows customization of track duration, emotion, tempo, and instruments.

The interface of Sandra is simple and user-friendly.

Neural networks create 15 different tracks based on user preferences.

Tracks consist of loops, which are repeated sections of music.

Loops typically last for 5 to 10 seconds and form the melody of the track.

Users can duplicate or remove loops to adjust the track's length.

Instruments can be toggled on or off in each section of the track.

The service can change the length, BPM, and volume of each sample.

Another service, AFK, is introduced for sound processing and enhancing audio quality.

AFK can remove echo, noise, and balance audio tracks without professional software.

Instructions are given on how to use AFK for sound normalization and noise reduction.

Refusion is another neural network service that generates music based on text prompts.

Refusion can also sing the user's text to music.

The video shows how to use refusion to generate a pop song with female vocals and reverb effects.

Different download options are available for the generated music, including separate tracks and video.

The video concludes with a call to subscribe for more informative content.