NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
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Updated
Mar 8, 2024 - Python
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
ICASSP 2022: "Text2Video: text-driven talking-head video synthesis with phonetic dictionary".
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Reading list for research topics in Sound AI
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
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".
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!
ICASSP2017: End-to-end joint learning of natural language understanding and dialogue manager
Face Recognition in real-world images [ICASSP 2017]
[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
SERAB: a multi-lingual benchmark for speech emotion recognition
This repository is the implementation of the HiPAMA architecture, introduced in the paper, Hierarchical Pronunciation Assessment with Multi-Aspect Attention (ICASSP 2023).
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
ICASSP 2019 official Latex template
ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
Continual Learning Benchmark for Spoken Keyword Spotting
A regularized version of RBM for unsupervised feature selection.
The official implementation for IEEE-ICASSP 2024 paper "Flare-Free Vision: Empowering Uformer with Depth Insights"
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