hogawa-onkyo

spectral_substraction

springer_heart_sound_segmentation_algorithm

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

patch-mix_contrastive_learning

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)

ssl-caller-detection

Source code for the paper 'Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?' by E. Sarkar and M. Magimai Doss (2023).

INTERSPEECH-2023-Papers

INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

icefall

BowelSoundsDetectionDeprecated

Machine Learning LSTM based NN with MFCC features for Bowel Sounds Detection (Audio Classification)

lstm-pytorch

LSTM Classification using Pytorch

Semi-supervised_MNIST

Pytorch Code for Semi-supervised Learning on MNIST Data Set

FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Semi-Supervised-Learning-Active-Learning

MNISTをデータを用いた半教師あり学習及びアクティブラーニング