Easy Voice Toolkit is an AI voice toolbox based on open source voice projects, providing a variety of automated audio tools including voice model training. The toolbox integrates seamlessly to form a complete workflow, and users can use the tools selectively as needed or in sequence to gradually convert raw audio files into ideal speech models.
Demand group:
"The target audience is developers and researchers who need to do speech processing, speech recognition, speech transcription, and speech model training. This toolbox is suitable for users who have needs for speech technology but want to operate in a local environment, because it provides Locally deployed solutions."
Example of usage scenario:
Developers use Easy Voice Toolkit to train custom models for speech recognition applications.
Researchers used the toolbox for speech transcription to analyze meeting recordings.
Educational institutions use the toolbox to create speech datasets for instructional materials.
Product features:
Audio processing: Provides pre-processing functions for audio files.
Speech recognition: Convert speech to text.
Speech Transcription: Convert voice recordings to text.
Data set creation: Supports SRT format conversion and WAV file segmentation.
Model training: Supports the training of custom speech models.
Voice conversion: realize conversion between different voices.
Usage tutorial:
Download and install Python 3.8 or higher.
Clone the Easy Voice Toolkit repository locally via git.
Install PyTorch and other dependencies according to project requirements.
Install other GUI dependencies required by the project.
Run the Run.py file to activate the GUI interface.
Select the required function through the GUI interface to operate.
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