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Maastricht University
- Maastricht, Limburg, Netherlands
- https://orcid.org/0009-0004-2548-3309
- in/mikolajnajdapl2000
- https://www.researchgate.net/profile/Mikolaj-Najda
Starred repositories
A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds
a curated list of speech datasets (110+ datasets, 75+ easy to download)
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
An extremely fast Python package and project manager, written in Rust.
Curated list of python software and packages related to scientific research in audio
A Zotero plugin for syncing items and notes into Notion
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A modern python scheduling framework with dependency injection and modular integration support. Alternative for Rocketry or apscheduler
Create resumes and CV with awesome-resumes. Practical tips, guidelines, guide, examples and documentation for all IT fields
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Code for the ICASSP 2022 paper "Transformer-Based Multi-Aspect Multi-Granularity Non-native English Speaker Pronunciation Assessment".