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

This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more details and data request send an email to the authors and contributors Juan Manuel Mayor Torres (juan.mayortorres@unitn.it) and Mirco Ravanelli (Mila)

Universal Adversarial Audio Perturbations

Raw waveform adaptation with SincNet

A toolkit providing deep learning based audio recognition algorithm powered by Mxnet Gluon. Now only Text-Independent Speaker Recognition is implemented.

An Implementation of SincNet using Tenorflow 2.x.

SincNet with Attention Mechanism using PyTorch

Keras implementation of SincNet from "Speaker Recognition from Raw Waveform with SincNet".

CNN on raw waveforms

2019 FlyAi 生活场景汉语语音识别