VictorBeraldo

crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

open-speech-analytics

speech-emotion-recogntion-ser2022

Speech Emotion Recognition SE&R 2022

s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit

voice-unlocker

Detecção e identificação de usuários atravéz da fala dentro de um contexto de extração de features de sinais de áudio nos domínios do tempo, frequência e tempo-frequência.

agevoxceleb

wav2vec2-sprint

pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

pytorch_xvectors

Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196

NeuralPlda

Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

feerci

FEERCI: A Package for Fast non-parametric confidence intervals for Equal Error Rates

torch-audiomentations

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

SpeakerEmbeddingLossComparison

Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP 2020

training_data_speech2text

You-Only-Speak-Once

Deep Learning - one shot learning for speaker recognition using Filter Banks

PyTorch_Speaker_Verification

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

AM-SincNet

The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architecture SincNet and the additive margin softmax (AM-Softmax) loss function. It uses the architecture of the SincNet, but with an improved AM-Softmax layer.

Resemblyzer

A python package to analyze and compare voices with deep learning

banknoteBrazil

Classification of Brazilian paper money.

repo2docker

Turn repositories into Jupyter-enabled Docker images

jupyterlab-vim

:neckbeard: Vim notebook cell bindings for JupyterLab

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

awesome-python-scientific-audio

Curated list of python software and packages related to scientific research in audio

VGG-Speaker-Recognition

Utterance-level Aggregation For Speaker Recognition In The Wild

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)