dariadiatlova Goto Github PK
Name: Daria Diatlova
Type: User
Company: @deepvk
Bio: voice dl researcher
Location: Saint-Petersburg
Name: Daria Diatlova
Type: User
Company: @deepvk
Bio: voice dl researcher
Location: Saint-Petersburg
Template for ASR project
Домашние задания к курсу ШАД БММО21
homework assignments: computer vision course
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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.
Deep learning for audio processing
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
homework assignments: deep reinforcement learning, spring 2021
Digital Signal Processing course
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
Test-task for VK-research internship 2022
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Homework assignments for numerical methods course
Binary classifier: male&female voice
Test task for ID R&D
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform
Test task for the project: Code quality for online learning platforms Stepik and Hyperskill (JBR)
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.
Efficient neural speech synthesis
Application of MB-iSTFT-VITS components to vits2_pytorch
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.