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Seunghyun Oh 's Projects

bert icon bert

TensorFlow code and pre-trained models for BERT

code-ex icon code-ex

Practice for coding test with C++ and Python

denoiser icon denoiser

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 causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

eqmac icon eqmac

macOS System-wide Audio Equalizer & Volume Mixer 🎧

espnet icon espnet

End-to-End Speech Processing Toolkit

friture icon friture

Real-time audio visualizations (spectrum, spectrogram, etc.)

fullsubnet-tensorflow icon fullsubnet-tensorflow

Convert PyTorch to Tensorflow for TFLite from "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

integrated-hearing-aid-app icon integrated-hearing-aid-app

A smartphone applications with Convolutional Neural Network Voice Activity Detector, Adaptive Noise Reduction and Dynamic Audio Range Compression

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