Audify is an application designed to enhance audio quality and provide transcription services. By leveraging the power of DeepFilterNet and OpenAI Whisper, Audify ensures a streamlined experience for users looking to improve their audio files and obtain accurate transcriptions.
Audio Enhancement: Utilizes DeepFilterNet to significantly enhance the audio quality. Transcription: Leverages OpenAI Whisper to provide accurate transcriptions of audio files.
DeepFilterNet: A deep learning model for audio enhancement.
OpenAI Whisper: An automatic speech recognition (ASR) system by OpenAI.
Corey Tarter
1.0
- Clone the repository:
git clone https://github.com/ctarter/audify.git
- Navigate to the cloned repository:
cd audify - Install the required dependencies:
Need a Pytorch-specific alternative with GPU support? Check out torch-audiomentations!
pip install -r requirements.txt
python audify.pyAudio Source:
1. File
2. Directory
3. Link
4. URL List
5. YouTube
Enter your choice: 1
Select File: /path/to/audio/file.wav
Denoise? (Y/N): Y
Export as:
1. WAV
2. MP3
3. FLAC
Enter your choice: 2
Choose Folder: /path/to/output/folder
Transcribe? (Y/N): Y
Choose a transcription model:
1. tiny.en
2. base.en
3. small.en
4. medium.en
Enter your choice: 2
Transcribe with timestamps? (Y/N): Y
Choose Folder: /path/to/transcription/folder
Generate Keywords from transcription file? (Y/N): Y
How many keywords to generate? 10
Choose Folder: /path/to/keywords/folderAudify is free and open source! All code in this repository is dual-licensed under either:
- MIT License (LICENSE-MIT or http://opensource.org/licenses/MIT)
- Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
at your option. This means you can select the license you prefer!
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.