A python package to analyze and compare voices with deep learning

Resemblyzer allows you to derive a high-level representation of a voice through a deep learning model (referred to as the voice encoder). Given an audio file of speech, it creates a summary vector of 256 values (an embedding, often shortened to "embed" in this repo) that summarizes the characteristics of the voice spoken. N.B.: this repo holds 100mb of audio data for demonstration purpose. To get the package alone, run pip install resemblyzer (python 3.5+ is required). 

SoundFile is an audio library based on libsndfile, CFFI, and NumPy

The Jupyter notebook is a web-based notebook environment for interactive computing. 

Tensors and Dynamic neural networks in Python with strong GPU acceleration

At a granular level, PyTorch is a library that consists of the following components:. A replacement for NumPy to use the power of GPUs. A deep learning research platform that provides maximum flexibility and speed. 

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. 🖼️ Images, for tasks like image classification, object detection, and segmentation. 🗣️ Audio, for tasks like speech recognition and audio classification. 

Audio Labs

Audio Analysis

Resemblyzerby resemble-ai

Resemblyzerby resemble-ai

python-soundfileby bastibe

python-soundfileby bastibe

ML

notebookby jupyter

notebookby jupyter

pytorchby pytorch

pytorchby pytorch

transformersby huggingface

transformersby huggingface