Face Recognition in real-world images [ICASSP 2017]

ICASSP2017: End-to-end joint learning of natural language understanding and dialogue manager

A regularized version of RBM for unsupervised feature selection.

[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs

Python Implementation for Directional Sparse Filtering with Tensorflow/Keras

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

Continual Learning Benchmark for Spoken Keyword Spotting

ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario

SERAB: a multi-lingual benchmark for speech emotion recognition

ICASSP 2022: "Text2Video: text-driven talking-head video synthesis with phonetic dictionary".

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

The official implementation for IEEE-ICASSP 2024 paper "Flare-Free Vision: Empowering Uformer with Depth Insights"

2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification

StofNet: Super-resolution Time of Flight Network (ICASSP 2024)

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

code for the paper: PRIVACY-PRESERVING DEEP LEARNING: LEVERAGING DEFORMABLE OPERATORS FOR SECURE TASK LEARNING

This repository is the implementation of the HiPAMA architecture, introduced in the paper, Hierarchical Pronunciation Assessment with Multi-Aspect Attention (ICASSP 2023).

[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".

The repository provides links to collections of influential and interesting research papers from top AI conferences, with open-source code to promote reproducibility and provide detailed implementation insights beyond the scope of the article. Stay up to date with the latest advances in AI research!