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tensorflow-vs-pytorch
Guide for both TensorFlow and PyTorch in comparative wayAuto-Tuning-Spectral-Clustering
This repo is for the SPL paper "Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap"music-noise-segmentation-on-a-spectrogram
MNSS (Music Noise Segmentation on a Spectrogram) is a deep-neural network based preprocessing technique that pre-filters unnecessary noise. MNSS is based on the convolutional neural networks and uses softmax value as a probability of noise existence.Python-Speaker-Diarization
Python3 code for the IEEE SPL paper "Auto-Tuning Spectral Clustering for SpeakerDiarization Using Normalized Maximum Eigengap"llm_speaker_tagging
SLT 2024 Challenge: Post-ASR-Speaker-Taggingprj_spkembd
Speaker embedding extractor for various tasks.usc_cs566_project
CS566 NLP text generation projectdiarization_annotation
Diarization annotation filesLove Open Source and this site? Check out how you can help us