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Ho-Gun, Yu's Projects

aec icon aec

Acoustic Echo Cancellation

fast-rir icon fast-rir

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

forward-convolutive-prediction icon forward-convolutive-prediction

Unofficial Pytorch Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation(FCP) https://ieeexplore.ieee.org/abstract/document/9622185

gpurir icon gpurir

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

httpie icon httpie

As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie

meta-transfer-learning icon meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

misonet icon misonet

Unofficial Multi-microphone complex spectral mapping for utterance-wise and continuous speech separation(MISO-BF-MISO)

movie-recommendation-system-mlops- icon movie-recommendation-system-mlops-

In this project, I implemented, evaluated, operated, monitored, and evolved a recommendation service for a scenario of a movie streaming service.

personalvad icon personalvad

An unofficial implementation of the Personal VAD speaker-conditioned voice activity detection method. Bachelor's thesis project.

porcupine icon porcupine

On-device wake word detection powered by deep learning

pyaec icon pyaec

simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.

pytorch-metric-learning icon pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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