Updated: Aug 22, 2023
1-Click Kit 
Speaker Diarization is the process of identifying and distinguishing the different speakers in a speech/audio file. In this kit, we demonstrate the application of Speaker Diarization concept using open source libraries.
To install this kit, scroll down to refer 'Kit Deployment Instructions' section and follow instructions.
Deployment Information
Speaker Diarization solution created using this kit is added to this section. The entire solution is available as a package to download from the source code repository.
- Download, extract and double-click kit installer file to install the kit.
- After successful installation of the kit, press 'Y' to run the kit and execute cells in the notebook.
- To run the kit manually, press 'N' and locate the zip file 'speaker-diarization'.
- Extract the zip file and navigate to the directory 'speaker-diarization-master'
- Open command prompt in the extracted directory 'speaker-diarization-master' and run the command 'jupyter notebook'
- Locate and open the 'SpeakerDiarization.ipynb' notebook from the Jupyter Notebook browser window.
- Execute cells in the notebook. Note: Demo source code will be downloaded to local machine. It is also available here
Development Environment
VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.
jupyterby jupyter
14404 Version:CurrentJupyter metapackage for installation, docs and chat
jupyterby jupyter
Python 14404 Version:Current License: Permissive (BSD-3-Clause)
Machine Learning
Transformers and Pytorch hub are state of the art libraries that provide pre-trained models for various ML/AI applications.
transformersby huggingface
104111 Version:v4.30.2🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
transformersby huggingface
Python 104111 Version:v4.30.2 License: Permissive (Apache-2.0)
pytorchby pytorch
67874 Version:v2.0.1Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorchby pytorch
Python 67874 Version:v2.0.1 License: Others (Non-SPDX)
Audio Processing
Pyannote audio library from PyPi provides support for audio processing and other speech related applications
pyannote-audioby pyannote
3116 Version:2.1.1Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pyannote-audioby pyannote
Jupyter Notebook 3116 Version:2.1.1 License: Permissive (MIT)
Kit Solution Source
speaker-diarizationby kandikits
0 Version:v1.0.0Differentiates different speakers in a speech or audio file
speaker-diarizationby kandikits
Jupyter Notebook 0 Version:v1.0.0 License: Permissive (MIT)
Support
If you need help to use this kit, you can email us at kandi.support@openweaver.com or direct message us on Twitter Message @OpenWeaverInc.