Using AI Voice Generators to Streamline Your Music Production Workflow

Kits AI
8 Feb 202411:09

TLDRThe video script provides an in-depth guide on using AI voice generators to enhance music production. It introduces Kits, a platform that allows users to create high-quality vocals and voiceovers in seconds, offering a variety of AI-trained models to choose from. The process includes selecting AI voices, adjusting conversion strength for clarity, and using advanced settings for pre-processing and post-processing effects. The script also covers the creation of custom AI voice models using an artist's vocals, transforming audio into different instruments, and the use of vocal remover for sampling. Additionally, it demonstrates the text-to-speech feature, which can generate voiceovers from text quickly. The video emphasizes the ethical and legal training of voices and the practical applications of the technology for artists and producers, such as showcasing a song to potential collaborators or creating demos for other artists.

Takeaways

  • 🎀 Use AI voice generators to create vocals or voice overs quickly.
  • πŸ” Select from a variety of AI trained models to find the right voice for your project.
  • πŸ”‘ You can choose up to five different models to layer or provide options in your song.
  • 🎼 Advanced settings allow you to adjust the conversion strength for better clarity and to avoid overcorrecting artifacts.
  • πŸŽ› Pre-processing effects like noise gate, filters, and autotune can be applied depending on the quality of your input recording.
  • 🎢 Post-processing effects such as chorus, reverb, and delay can be added for a polished sound.
  • 🎹 AI can also convert vocals into different instruments, offering creative possibilities.
  • πŸ“ˆ Experimentation with pre-processing and post-processing is crucial for achieving the desired sound.
  • πŸ“‰ High-quality input audio leads to better AI voice generation.
  • 🎧 The ability to train a custom AI voice model with a minimum of 3 minutes of vocal recording can be a game-changer for artists.
  • πŸš€ Text-to-speech feature allows for the creation of voice overs from text in seconds.
  • 🌐 Kits AI works legally and ethically with artists, ensuring they are compensated for their voices used in the models.

Q & A

  • What is the main purpose of using AI voice generators in music production?

    -The main purpose of using AI voice generators in music production is to streamline the workflow by providing high-quality vocals and voice overs in seconds, offering a wide variety of AI trained models, and enabling the creation of different layers and options in a song.

  • How can AI voice generators help in creating a more efficient music production process?

    -AI voice generators can help in creating a more efficient music production process by allowing the selection of up to five different AI models at once, providing advanced settings for vocal and instrumental adjustments, and offering post-processing effects for a polished sound.

  • What are some of the advanced settings available for AI voice generation?

    -Some of the advanced settings available for AI voice generation include the ability to change the key of the vocals, adjust the conversion strength for more accent and articulation, and control the model volume to balance dynamics without accentuating noise.

  • How does the AI voice generator handle pre-processing of audio?

    -The AI voice generator offers pre-processing options such as a noise gate, high pass filter, low pass filter, compressor, and autotune to clean up the input audio and improve the quality of the generated vocals.

  • What is the benefit of being able to select multiple AI models for a single song?

    -The benefit of being able to select multiple AI models for a single song is that it speeds up the workflow and provides the user with various options and layers for their song, allowing for more creative freedom and surprising outcomes.

  • How does the AI voice generator ensure ethical use of artists' voices?

    -The AI voice generator ensures ethical use of artists' voices by working directly with the artists, ensuring they are paid for their contributions, and allowing users to use the trained models without a guilty conscience.

  • Can AI voice generators be used to replace original vocals in a song?

    -Yes, AI voice generators can be used to replace original vocals in a song by uploading the audio and selecting an AI generative model to transform the vocals, which can be useful for remixes or demonstrating how different artists might fit on a track.

  • What is the process for training a custom AI voice model?

    -To train a custom AI voice model, users need to upload audio files of their vocalist, with a minimum of 3 minutes recommended 10 minutes, and a maximum of an hour. The cleaner the input audio, the easier it is to train the model. Vocals should ideally be recorded with a high-quality microphone in a sound-treated room, including a variety of vowels and pitches.

  • How can AI voice generators be used for sampling?

    -AI voice generators can be used for sampling by uploading a full song and using the vocal remover feature to separate the vocals from the instrumentals. This allows users to sample the vocals or instrumentals independently, enhancing the creative possibilities in music production.

  • What is the text-to-speech feature in AI voice generators?

    -The text-to-speech feature in AI voice generators allows users to input text and have it converted into spoken audio using various AI voice models. This can be useful for creating voice overs, narrations, or adding spoken hooks to a song quickly and efficiently.

  • How can AI voice generators help in demonstrating a song's potential for different artists?

    -AI voice generators can help in demonstrating a song's potential for different artists by allowing users to replace demo vocals with the AI generative model of the artist in question. This provides a quick and effective way to show how the artist's voice fits on the track without spending time in the studio.

  • What are some of the post-processing effects available in AI voice generators?

    -Some of the post-processing effects available in AI voice generators include chorus, reverb, and delay. These effects can be used to add depth and polish to the generated vocals, enhancing the overall sound of the music production.

Outlines

00:00

🎀 Introduction to AI Vocals and Kits Overview

The video introduces an AI-driven platform called Kits that enables users to generate vocals and voiceovers for their songs quickly. The host guides viewers on how to use Kits to select AI voice models, customize vocal layers, and adjust settings like conversion strength and model volume. It also covers advanced audio processing options, such as noise gate, filters, and autotune, to refine the generated vocals. The platform's ethical collaboration with artists ensures that the AI models are used legally and responsibly.

05:03

🎼 Advanced Features and Customization

The script delves into Kits' advanced features, including the ability to turn audio recordings into various instruments, such as saxophone, cello, and bass guitar. It discusses the process of adjusting pitch and using tools like the pitch shifter to correct octave issues. The video also explores creating custom AI voice models by training the system with a minimum of 3 minutes of high-quality vocal recordings. Additionally, it highlights the vocal remover feature, which can isolate vocals from an instrumental track, and the text-to-speech functionality for creating voiceovers.

10:04

πŸ“ Text-to-Speech and Final Thoughts

The final paragraph focuses on the text-to-speech feature of Kits, where the user can input text and have it converted into voiceover using different AI models. The host demonstrates how to select voices, adjust pitch, and generate voiceovers quickly. It emphasizes the potential for using multiple models to create a collage of different AI voices for a unique voiceover effect. The video concludes by inviting viewers to share their favorite features of Kits in the comments and teases upcoming content related to AI technology.

Mindmap

Keywords

πŸ’‘AI Voice Generators

AI Voice Generators are software applications that use artificial intelligence to create human-like vocals. In the video, they are used to produce vocals for a song and voice overs that sound realistic and professional. This technology streamlines the music production workflow by allowing users to generate vocals without needing a human singer, thus saving time and resources.

πŸ’‘Text-to-Speech

Text-to-Speech (TTS) is a technology that converts written text into audible speech. The video demonstrates how AI can be used to generate voice overs from text, which is particularly useful for creating promotional content or narrations quickly and efficiently. An example from the script is the creation of a voice over with the phrase 'what if I told you you could get vocals on your song that sound like this'.

πŸ’‘Royalty-Free Vocals

Royalty-Free Vocals refer to vocal recordings that can be used without having to pay ongoing royalties to the original artist or copyright holder. In the context of the video, the speaker uses royalty-free vocals to avoid copyright issues and to provide an example of how AI can be used to enhance these vocals, making them suitable for various music projects.

πŸ’‘AI Trained Models

AI Trained Models are algorithms that have been developed and 'trained' using machine learning techniques to perform specific tasks, such as generating human-like vocals. The video discusses selecting different AI voice models to achieve various vocal styles, showcasing the versatility of AI in music production.

πŸ’‘Vocal Conversion Strength

Vocal Conversion Strength refers to the degree to which an AI model modifies the input audio to sound more like the target voice model. A higher conversion strength can make the AI vocals clearer and more defined, but it may also introduce artifacts if overdone. It's an important parameter to adjust when fine-tuning the output vocals to achieve a natural sound.

πŸ’‘Pre-Processing Effects

Pre-Processing Effects are audio effects that are applied to a sound before it is further processed or mixed. In the video, tools like a noise gate, high pass filter, low pass filter, compressor, and autotune are mentioned as pre-processing options that can be used to clean up and prepare the vocals for conversion by the AI model.

πŸ’‘Post-Processing Effects

Post-Processing Effects are applied to audio after the main recording and mixing stages. The video mentions adding chorus, reverb, and delay as examples of post-processing effects that can be used to enhance the final sound of the AI-generated vocals.

πŸ’‘Vocal Remover

A Vocal Remover is a tool that attempts to isolate and remove vocals from a mixed audio track, leaving behind the instrumental part. The video demonstrates how this feature can be used for sampling or training AI models by separating vocals from an existing song.

πŸ’‘Train a Voice

Train a Voice is a feature that allows users to create a custom AI voice model by uploading recordings of a specific vocalist. This is useful for artists and producers who want to simulate the style of a particular singer in their music. The video explains that a minimum of 3 minutes of high-quality vocal recordings is needed to train the model.

πŸ’‘Stemming

Stemming is the process of separating different elements of a song, such as vocals and instruments, into individual tracks. The video shows how AI can be used to automatically stem a song into its constituent parts, which is beneficial for remixing or repurposing existing music.

πŸ’‘Legal and Ethical Training

Legal and Ethical Training refers to the responsible development and use of AI models, ensuring that the rights and consent of the individuals whose voices are being used are respected. The video emphasizes that the AI voices are trained legally and ethically, with artists being compensated for their contributions.

Highlights

AI voice generators can create vocals and voice overs in seconds.

Multiple AI trained models can be selected for a variety of vocal sounds.

Up to five different AI models can be used simultaneously for layers in music.

Advanced settings allow for vocal clamping and instrumental removal.

Conversion strength can be adjusted for clearer AI vocals.

Different pre-processing effects like Noise Gate and autotune can be applied.

Post-processing effects such as chorus, reverb, and delay can enhance the audio.

AI can transform vocals into different instruments like saxophone, cello, and bass guitar.

Drums can be created from everyday sounds and transformed into a drum groove.

AI voice generators can streamline the music production workflow.

The process is legal and ethical, with artists being paid for their voice models.

YouTube links can be used to generate AI vocals without needing the audio file.

AI can assist in creating demos for artists by replacing original vocals.

Custom AI voice models can be trained using an artist's audio files.

High-quality microphones and sound-treated rooms are recommended for training models.

Vocal remover feature can separate vocals from an instrumental mix.

Text-to-speech feature allows for quick creation of voice overs.

Different voice models can be compared and chosen based on the desired sound.

AI models can be used to create a collage of different speakers for a voice over.