AI-empowered consumer behavior analysis for trustworthy track recommendation over musical dance electronic products
F Wang, A Slowik - Heliyon, 2024 - cell.com
In the digital music era, accurate and trustworthy track recommendations for musical dance
electronic products are becoming increasingly important to improve user experiences and …
electronic products are becoming increasingly important to improve user experiences and …
[PDF][PDF] Musical instrument classification using audio features and convolutional neural network
GAVM Giri, ML Radhitya - Journal of Applied …, 2024 - pdfs.semanticscholar.org
This research classifies acoustic instruments using Convolutional Neural Network (CNN).
We utilize a dataset from Kaggle containing audio recordings of piano, violin, drums, and …
We utilize a dataset from Kaggle containing audio recordings of piano, violin, drums, and …
MIRFLEX: Music Information Retrieval Feature Library for Extraction
A Chopra, A Roy, D Herremans - arXiv preprint arXiv:2411.00469, 2024 - arxiv.org
This paper introduces an extendable modular system that compiles a range of music feature
extraction models to aid music information retrieval research. The features include musical …
extraction models to aid music information retrieval research. The features include musical …
Instrument recognition in unprocessed musical audio through transformer-based modelling
C Dai - Applied and Computational Engineering, 2024 - ewadirect.com
This study focuses on identifying primary instruments in musical audio using an adapted
Wav2Vec 2.0 model, initially intended for extracting speech features from raw audio …
Wav2Vec 2.0 model, initially intended for extracting speech features from raw audio …
[引用][C] 오케스트라연주에서딥러닝기반악기식별
정다현， 박나은， 고재휘， 황혜수 - 한국정보과학회학술발표논문집, 2024 - dbpia.co.kr
요약본 연구는 오케스트라 음원에서 특정 시점에 동시에 연주되는 최대 16 개 악기들을
식별하는것을 목적으로 한다. 1 개에서 16 개 사이의 악기 소리가 포함된 4 초 단위 음원을 입력 …
식별하는것을 목적으로 한다. 1 개에서 16 개 사이의 악기 소리가 포함된 4 초 단위 음원을 입력 …