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Daria Diatlova's Projects

cv icon cv

homework assignments: computer vision course

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.

dla icon dla

Deep learning for audio processing

dns-challenge icon dns-challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

drl.hse icon drl.hse

homework assignments: deep reinforcement learning, spring 2021

dsp icon dsp

Digital Signal Processing course

dtln icon dtln

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

emotion2vec icon emotion2vec

Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

fastspeech2 icon fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

fre-gan icon fre-gan

Test-task for VK-research internship 2022

hifi-gan icon hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

istftnet-pytorch icon istftnet-pytorch

iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

jbr_code_quality icon jbr_code_quality

Test task for the project: Code quality for online learning platforms Stepik and Hyperskill (JBR)

kazakh_tts icon kazakh_tts

An expanded version of the previously released Kazakh text-to-speech (KazakhTTS) synthesis corpus. In KazakhTTS2, the overall size has increased from 93 hours to 271 hours, the number of speakers has risen from two to five (three females and two males), and the topic coverage has been diversified.

lpcnet icon lpcnet

Efficient neural speech synthesis

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