Using AI Voice Generators to Streamline Your Music Production Workflow

Kits AI
8 Feb 202411:09

TLDRThe video provides an in-depth overview of using AI voice generators to enhance music production. It introduces Kits, a platform that allows users to select from a variety of AI voice models to create vocals or voiceovers in seconds. The process includes choosing a voice model, adding audio files, adjusting advanced settings like key changes and conversion strength, and experimenting with pre- and post-processing effects. The platform also offers the ability to train a custom AI voice model using an artist's vocals and to generate instruments from audio recordings. Additionally, Kits features a vocal remover for sampling and text-to-speech functionality for creating voiceovers. The video emphasizes the legal and ethical training of voices and the potential of AI to streamline and revolutionize music production workflows.

Takeaways

  • 🎙️ Utilize AI voice generators to create vocals or voiceovers quickly, with a variety of AI-trained models available.
  • 🔍 Select up to five different AI voice models simultaneously for layered vocals or diverse options in your music production.
  • 🎼 Experiment with different models to find the right tone, such as female Loi, Indie, or R&B, for your song's concept.
  • 🎧 Adjust the conversion strength for more accent and articulation, but be cautious of overcorrection artifacts.
  • 🎛️ Use advanced settings to fine-tune the vocals, including noise gate, high pass, low pass filters, and autotune.
  • 🎹 Post-processing allows for creative effects like chorus, reverb, and delay to polish the AI-generated vocals.
  • 🎉 The input audio's quality directly impacts the generation quality, so clean recordings are preferred.
  • 🎉 AI can also transform vocals into different instruments, offering innovative ways to use existing recordings.
  • 📈 Train a custom AI voice model using at least 3 minutes of high-quality vocal recordings for a personalized touch.
  • 🔍 The vocal remover feature can isolate vocals from a mix, useful for sampling or training AI models.
  • 📝 Text-to-speech functionality allows for the creation of voiceovers from text input, with various voice models to choose from.
  • 🌟 The potential for AI in music production is vast, offering creative and practical solutions for artists and producers.

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 quickly generating vocals and voice overs that can sound like various artists or styles, and to create different musical instruments from audio recordings.

  • How can AI voice generators help in creating layers or different options in a song?

    -AI voice generators allow users to select up to five different AI models at once, which can be used to create layers or different options in a song, making the workflow faster and more versatile.

  • What are some of the advanced settings available for processing vocals in AI voice generators?

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

  • How does the pre-processing feature work in AI voice generators?

    -The pre-processing feature in AI voice generators includes tools like a noise gate, high pass filter, low pass filter, compressor, and autotune. These can be used to clean up the input audio and improve the quality of the generated vocals.

  • What is the significance of using royalty-free vocals in music production?

    -Using royalty-free vocals in music production is significant because it allows creators to use vocals without worrying about copyright issues or needing to pay royalties, making the process more cost-effective and legally compliant.

  • How can AI voice generators be used to create custom AI voice models?

    -To create a custom AI voice model, users can upload audio files of a specific vocalist they regularly work with. The cleaner and higher quality the input audio, the easier it is to train the model to replicate the artist's voice style accurately.

  • What is the process of turning audio recordings into different musical instruments using AI voice generators?

    -The process involves selecting the desired instrument type in the AI voice generator and then dropping in the audio recording. The system will then convert the vocals into the selected instrument sound, allowing for creative exploration of different instrument textures.

  • How can AI voice generators assist in creating drum grooves from unconventional sources?

    -AI voice generators can record and convert unconventional sounds, like tapping on a desk, into drum grooves. This can be done by recording the sound, selecting the desired drum instrument, and then processing the recording to create a unique drum pattern.

  • null

    -null

  • What are the benefits of using the vocal remover feature in AI voice generators?

    -The vocal remover feature allows users to separate vocals from the instrumental parts of a song, which can be useful for creating instrumental versions, mastering the mix, or sampling vocals for new compositions.

  • How can text-to-speech functionality in AI voice generators be utilized for voice overs?

    -The text-to-speech functionality enables users to input text and have it converted into voice overs using various AI voice models. This can be used to quickly create voice overs for videos, presentations, or other multimedia projects.

  • What ethical considerations are taken into account when using AI voice generators?

    -AI voice generators work directly with artists to ensure they are legally and ethically compensated for the use of their voices. This allows users to utilize the technology without concerns about violating copyright or ethical standards.

  • How does the AI voice generator help in showcasing a song to different artists?

    -The AI voice generator can transform a song into the voice of different artists, allowing creators to showcase how a song might fit an artist's style without needing the artist's actual performance. This can be a powerful tool for selling demos or getting feedback on song suitability.

Outlines

00:00

🎤 Introduction to AI Vocals and Kits Features

The video begins with an introduction to AI-generated vocals and the capabilities of Kits, a platform that allows users to create realistic-sounding vocals and voiceovers quickly. The host guides viewers on how to use Kits, starting with selecting an AI voice model, in this case, the female Loi model for a softer sound. The platform's ability to layer up to five different models for a richer sound is highlighted. The process includes adding a text or audio file, adjusting advanced settings like key changes and conversion strength, and experimenting with pre- and post-processing effects. The host emphasizes the importance of clean input for better AI generation and the ethical and legal training of the AI voices used in Kits.

05:03

🎼 Advanced Usage of Kits: Customizing and Training AI Models

The second paragraph delves into more advanced features of Kits, such as customizing AI voice models to match the style of an artist you work with regularly. The process involves uploading audio files of a vocalist to train a unique AI model, with recommendations on audio quality and variety. The host also demonstrates the vocal remover feature, which is useful for creating instrumentals or training AI models, and shows how to split vocals from an audio file. Additionally, the text-to-speech feature is introduced, allowing users to input text and generate voiceovers in various styles, which can be a game-changer for song demos and presentations.

10:04

📚 Conclusion and Engagement Invitation

In the concluding paragraph, the host summarizes the capabilities of Kits AI and invites viewers to share their favorite features in the comments section. The potential for further exploration of Kits' features is emphasized, hinting at more content to come. The host thanks the viewers for watching and teases the next video, encouraging the audience to stay tuned for more insights into AI's role in music creation.

Mindmap

Keywords

💡AI Voice Generator

An AI Voice Generator is a technology that uses artificial intelligence to create realistic human-like vocals. In the video, it is used to produce vocals for a song and voice over, which can be customized to various styles and sounds. It streamlines the music production workflow by allowing creators to generate vocals without needing a human singer, thus saving time and resources.

💡Text-to-Speech

Text-to-Speech (TTS) is a technology that converts written text into spoken words. The video demonstrates how TTS can be used to create voice overs quickly and efficiently. It is particularly useful for adding narration or dialogue to a project without the need for a voice actor.

💡Studio Quality Vocals

Studio quality vocals refer to the high-quality sound of the vocals that are recorded in a professional studio setting. In the context of the video, the AI voice generator is used to produce vocals that are on par with professionally recorded studio vocals, which is significant for music production as it allows for a polished final product.

💡AI Trained Models

AI trained models are algorithms that have been developed and 'trained' using machine learning techniques to perform specific tasks. In the video, various AI trained models are used to generate different vocal styles, allowing users to select the one that best fits their creative vision.

💡Royalty-Free Vocals

Royalty-free vocals are pre-recorded vocal tracks that can be used without having to pay ongoing royalties or fees to the original artist or copyright holder. The video mentions the use of royalty-free vocals, which is beneficial for musicians and producers as it allows them to use vocals in their songs without worrying about copyright issues.

💡Pre-Processing Effects

Pre-processing effects are audio treatments that are applied to a sound before it is finalized in the mix. The video discusses the use of noise gate, high pass filter, low pass filter, compressor, and autotune as pre-processing effects. These tools help to clean up and shape the sound of the vocals before they are used in the final mix.

💡Post-Processing Effects

Post-processing effects are audio enhancements applied after the initial recording and mixing stages. In the video, the use of chorus, reverb, and delay as post-processing effects is mentioned. These effects are used to add depth and space to the vocals, making them sound more polished and professional.

💡Vocal Removal

Vocal removal is the process of taking the vocal track out of a mixed recording, leaving behind the instrumental part. The video demonstrates a feature that allows users to remove vocals from a song, which can be useful for creating instrumental versions of tracks or for sampling purposes.

💡Stemming

Stemming in music production refers to the process of separating different elements of a mix into individual tracks or 'stems'. The video shows how vocals and instrumentals can be stemmed out, allowing for greater control over the individual components of a song during the mixing and mastering process.

💡Custom AI Voice Model

A custom AI voice model is a unique voice generated by training an AI system with specific vocal samples. The video explains how users can train a voice over with their own vocalist's audio to create a personalized AI voice model. This can be particularly useful for creating a consistent vocal sound across multiple projects.

💡Legal and Ethical Training

Legal and ethical training refers to the process of developing AI models in a way that respects copyright laws and the rights of the artists whose voices are being used. The video emphasizes that all voices used in the AI models have been trained legally and ethically, ensuring that artists are compensated for their work.

Highlights

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

Multiple AI trained models can be selected to layer vocals or provide different options in a song.

Conversion strength can be adjusted to add more accent and articulation to the AI model.

Advanced settings allow for vocal clamping, instrumental removal, and key changes.

Pre-processing effects such as Noise Gate, high pass filter, and autotune can be applied.

Post-processing effects like chorus, reverb, and delay can be added for a polished sound.

AI can generate instruments from vocal recordings, such as saxophone, cello, and bass guitar.

The vocal remover feature can separate vocals from an instrumental track.

Text-to-speech feature can convert text into voice overs using different AI models.

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

A minimum of 3 minutes of vocal audio is required to train a custom model.

High-quality microphone and sound-treated room recommended for training model.

YouTube links can be used to train custom voice models.

AI generated vocals can be used to demo songs for other artists.

Vocals can be transformed into different styles to fit various song contexts.

The vocal remover can be used for sampling and mastering instrumentals.

Legal and ethical training of AI voices ensures artists are compensated.

Kits AI offers a plethora of features to streamline music production.

Experimentation with different models and settings is key to achieving desired sounds.

Discover Your Future with AI Astrology

Get personalized BaZi insights on career, love, and wealth.

Discover Your Future with AI AstrologyTry It Now