speech-music-detection
BCDU-Net
| speech-music-detection | BCDU-Net | |
|---|---|---|
| 1 | 1 | |
| 91 | 676 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| MIT License | - |
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speech-music-detection
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Kann man die Musik eines bestimmten Radiosenders ersetzen, aber die Moderation behalten?
Obwohl ... wenn da sogar Python-Wrapper existeren (z.B. das hier: https://github.com/qlemaire22/speech-music-detection ) dann ist es womglich doch nicht so super schwer.
BCDU-Net
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[D] Extensions to U-nets
I compared a U-net, BCDU-net, and a U2-net for glacier semantic segmentation which is a pretty easy task. I don't still have the exact numbers, but U2-net was the best. I've also used a U2-net to map geologic structures which is a lot harder and the U2-net did well there too.
What are some alternatives?
librosa - Python library for audio and music analysis
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
GlacierSemanticSegmentation - Identify glaciers in satellite images with a U^2-Net
MenstruatioNN - LSTM to predict menstruation and menstrual cycles.
perin - PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
unet - unet for image segmentation
UNetPlusPlus - [IEEE TMI] Official Implementation for UNet++
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.