dropclass speakerDropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
speakerIdentificationNeuralNetworks⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The hi…
wavenet-classifierKeras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
2018-dlslUPC Deep Learning for Speech and Language 2018
GE2E-LossPytorch implementation of Generalized End-to-End Loss for speaker verification
Speaker-RecognitionThis repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
Voice-MLMobileNet trained with VoxCeleb dataset and used for voice verification
UHV-OTS-SpeechA data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.