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Singing-Vocal-Beat-Tracking
Singing-Vocal-Beat-Tracking
This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and trains linear multi-head self-attention layers on top of them to extract vocal beat activations. Then, it uses HMM decoder to infer signing beats and tempo.
·github.com·
Singing-Vocal-Beat-Tracking
ACA-Slides
ACA-Slides
Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012/2022
·github.com·
ACA-Slides
DepAudioNet_reproduction
DepAudioNet_reproduction
Reproduction of DepAudioNet by Ma et al. {DepAudioNet An Efficient Deep Model for Audio based Depression Classification,(https//dl.acm.org/doi/10.1145/2988257.2988267), AVEC 2016}
·github.com·
DepAudioNet_reproduction
ISM2017
ISM2017
Reproducible research code for the experiments presented in our article "Kara1k: a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017 - y...
·github.com·
ISM2017
aiSFX
aiSFX
Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022) Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
·github.com·
aiSFX