Time delay neural network (TDNN) implementation in Pytorch using unfold method
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch
Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP 2020
Convert kaldi feature extraction and nnet3 models into Tensorflow Lite models. Currently aimed at converting kaldi's x-vector models and diarization pipelines to tensorflow models.
We extract the x-vector and i-vector of five Kurdish Dialects and use these vectors to recognition Kurdish dialects.
Fine-tuning wav2vec2 to for Pathological Speech Processing
DNN embeddings extraction from audio and speech recordings using PyTorch.
Custom Kaldi recipes for DNN feature extraction on public and non-public audio corpora. Medical speech and computational paralinguistics related.
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