#
Daipi2020
Follow
Starred repositories
35
stars
written in Python
Clear filter
Production First and Production Ready End-to-End Speech Recognition Toolkit
Effortless data labeling with AI support from Segment Anything and other awesome models.
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
Python implementation of Empirical Mode Decompoisition (EMD) method
Pytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持Conformer、Squeezeformer、DeepSpeech2模型，支持多种数据增强方法。
Python implementation of performance metrics in Loizou's Speech Enhancement book
Using GANs to correct color distortion in underwater images.
📻 An SDR Based FM/AM Radio For Desktop. Accelerated with #cuSignal and Numba.
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
Evaluation and Benchmarking of Speech Super-resolution Methods
The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.
[AAAI 2023 Oral] | Underwater Ranker: Learn Which Is Better and How to Be Better (underwater image enhancement + underwater image quality assessment)
Phase-Aware Speech Enhancement with Deep Complex U-Net
[IEEE TGRS 2024] SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
GAN-based fast underwater image enhancement.
download IEEE conference papers automatically, using python； 自动解析论文地址，批量下载；
Enhancing underwater images using a truncated U-Net architecture for real-time color correction applications
Reproduce the paper with the same name as the project.
Map Based Navigation [TERCOM, DSMAC] using OpenCV Python