tango4j/usc_cs566_project

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tango4j/usc_cs566_project

tango4j

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CS566 NLP text generation project

tensorflow-vs-pytorch

Guide for both TensorFlow and PyTorch in comparative way

Jupyter Notebook

Auto-Tuning-Spectral-Clustering

This repo is for the SPL paper "Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap"

Python-Speaker-Diarization

Python3 code for the IEEE SPL paper "Auto-Tuning Spectral Clustering for SpeakerDiarization 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.

llm_speaker_tagging

SLT 2024 Challenge: Post-ASR-Speaker-Tagging

prj_spkembd

Speaker embedding extractor for various tasks.

Multiscale-Speaker-Diarization

This repository is for the paper titled "Multiscale Speaker Diarization with Neural Affinity Score Fusion

diarization_annotation

Diarization annotation files