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What is Audialab?

Emergent Drums 2 stands out as a cutting-edge plugin that utilizes AI to generate an infinite variety of drum samples. Its sophisticated generative algorithms are specifically engineered to create distinctive drum sounds from scratch, eliminating the need for any pre-existing recordings, which guarantees that each sample is entirely unique. Users can leverage our innovative deep sampling technology to easily explore a multitude of variations from their current sample libraries by simply dragging in a sample, adjusting the similarity slider, and clicking generate, thus opening up a world of creative potential. The plugin features two unique infinite sound models: Creamy, which provides lush, shimmering cymbals, robust kicks, and crisp snares; and Crunchy, which offers drums characterized by vibrant noise, grit, and glitches, culminating in a truly experimental audio journey. These two models can be seamlessly integrated to create a custom drum kit suited to any musical vision. In addition to serving as a sample generator, Emergent Drums 2 functions as a fully-fledged 16-pad instrument that supports MIDI playback and includes multi-output capabilities, significantly broadening its utility for diverse creative endeavors. Its intuitive interface is designed to ensure both novices and experienced producers can effortlessly explore its powerful functionalities, making it an essential tool for anyone looking to enhance their music production workflow. With Emergent Drums 2, the possibilities for crafting unique drum sounds are virtually limitless.

What is 3LC?

Illuminate the opaque processes of your models by integrating 3LC, enabling the essential insights required for swift and impactful changes. By removing uncertainty from the training phase, you can expedite the iteration process significantly. Capture metrics for each individual sample and display them conveniently in your web interface for easy analysis. Scrutinize your training workflow to detect and rectify issues within your dataset effectively. Engage in interactive debugging guided by your model, facilitating data enhancement in a streamlined manner. Uncover both significant and ineffective samples, allowing you to recognize which features yield positive results and where the model struggles. Improve your model using a variety of approaches by fine-tuning the weight of your data accordingly. Implement precise modifications, whether to single samples or in bulk, while maintaining a detailed log of all adjustments, enabling effortless reversion to any previous version. Go beyond standard experiment tracking by organizing metrics based on individual sample characteristics instead of solely by epoch, revealing intricate patterns that may otherwise go unnoticed. Ensure that each training session is meticulously associated with a specific dataset version, which guarantees complete reproducibility throughout the process. With these advanced tools at your fingertips, the journey of refining your models transforms into a more insightful and finely tuned endeavor, ultimately leading to better performance and understanding of your systems. Additionally, this approach empowers you to foster a more data-driven culture within your team, promoting collaborative exploration and innovation.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
Microsoft Azure
NumPy
PyTorch
Python
pandas

API Availability

API Availability

Pricing Information

$149 one-time payment

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Audialab

Company Website

audialab.com

Company Facts

Organization Name

3LC

Company Website

3lc.ai/

Categories and Features

AI Music Generators

Not specified

Categories and Features

AI/ML Model Training

Not specified

Machine Learning

Not specified

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