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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
·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