jefflai108/Attentive-Filtering-Network jefflai108/Attentive-Filtering-Network

  • Stars
    star
    49
  • Rank 573,894 (Top 12 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 6 years ago
  • Updated about 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
jefflai108/Attentive-Filtering-Network
github

jefflai108

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

University of Edinbrugh-Johns Hopkins University's system for ASVspoof 2017 Version 2.0 dataset.

More Repositories

1

Contrastive-Predictive-Coding-PyTorch

Contrastive Predictive Coding for Automatic Speaker Verification
Python
469
star
2

pytorch-kaldi-neural-speaker-embeddings

A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.
Perl
134
star
3

ASSERT

JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).
MATLAB
55
star
4

Unsupervised-TTS

Python
42
star
5

Semi-Supervsied-Spoken-Language-Understanding-PyTorch

Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining
Python
12
star
6

PARP-wav2vec-PyTorch

Python
9
star
7

LSTM

Voice activity detection of noisy speech files with LSTM. LSTM is implemented with Keras. Data processing is done with Python, MATLAB, and Bash. Experiments are done on Johns Hopkins CLSP GPUs.
Python
6
star
8

scale

Some of my public work at https://hltcoe.jhu.edu/research/scale/scale-2017/
Python
3
star
9

intro-machine-learning-paper

Paper I have read for understanding statistical machine learning and speaker recognition
2
star
10

noise_cancellation

Noise cancellation system for speech files with different kinds of noise.
TeX
2
star
11

mfcc

Steps to extract mfcc features from audios
Shell
2
star
12

TTS-Pruning-Pytorch

Python
1
star
13

LDA

An implementation of Linear Discriminant Analysis on multi-class speaker recognition.
Python
1
star
14

lexicon-learner

Python
1
star