The ComfyUI Speech Dataset Toolkit is a collection of custom nodes designed to facilitate the creation of speech datasets for applications such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) using audio processing tools. It leverages the capabilities of torchaudio to provide essential audio manipulation functionalities.
- Supports a variety of audio editing operations like cutting, trimming, and resampling.
- Includes visualization tools to analyze audio waveforms and spectrograms for better insights.
- Integrates advanced AI models for tasks such as voice activity detection and speech recognition.
Context
The ComfyUI Speech Dataset Toolkit is an extension for ComfyUI that streamlines the process of creating and managing speech datasets. Its primary focus is on providing users with a comprehensive set of audio processing tools that enhance the workflow for speech-related AI tasks.
Key Features & Benefits
This toolkit offers practical features such as loading and saving audio files, editing capabilities (including cutting, trimming, and resampling), and visualization tools for analyzing audio data. These functionalities are crucial for users who need to prepare and refine audio datasets for machine learning applications, ensuring high-quality input for ASR and TTS systems.
Advanced Functionalities
The toolkit incorporates advanced AI models like Demucs for audio source separation and Silero VAD for voice activity detection. These specialized capabilities allow users to perform complex audio processing tasks efficiently, enabling them to extract relevant features from audio data and improve the quality of their datasets.
Practical Benefits
By integrating this toolkit into their workflow, users can significantly enhance their control over audio data manipulation, improve the quality of their speech datasets, and increase overall efficiency in the dataset creation process. The streamlined operations reduce the time and effort required to prepare audio files for machine learning.
Credits/Acknowledgments
The toolkit is developed by contributors from the open-source community, with inspiration drawn from other projects such as ComfyUI-audio and ComfyUI-AudioScheduler. It is important to acknowledge the original authors and maintainers of these resources, which have influenced the development of this toolkit.