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A python library for working with praat, textgrids, time aligned audio transcripts, and audio files. It is primarily used for extracting features from and making manipulations on audio files given …
Knowledge graph for Eason Chan's songs 陈奕迅音乐作品知识图谱
PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)
This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems With Applications.
[Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
EEG Sleep stage classification using CNN with Keras
How to use our public wav2vec2 dimensional emotion model
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
SelANet: Decision-Assisting Selective Sleep Apnea Detection Based on Confidence Score
This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according t B4B2 o the proposed technique.
A Compact and Effective Pretrained Model for Speech Emotion Recognition
Self-Supervised Speech Pre-training and Representation Learning Toolkit
⚡ Finetune Wa2vec 2.0 For Speech Recognition
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
Heterogeneous graph attention network improves cancer multiomics integration
A Zotero plugin for syncing items and notes into Notion
Source for the Interspeech 2024 Paper "Scaling up masked audio encoder learning for general audio classification"
Acoustic impulse response generation using diffusion models
Self-supervised pre-training for ECG representation with inspiration from transformers & computer vision
Reading list for research topics in Sound AI
A collection of deep learning models for ECG data processing based on fairseq framework