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Title: :  AN AUDIO STEM EXTRACTOR
PaperId: :  22907
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22907
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SUJAY ANIRUTH P VBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SYLESHKUMAR N JBANNARI AMMAN INSTITUTE OF TECHNOLOGY
JAIKRISHNAN ABANNARI AMMAN INSTITUTE OF TECHNOLOGY
YAMUNA SBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

COMPUTER ENGINEERING
Demucs, Music source separation, U-Net convolutional architecture, Hybrid Transformer Demucs, Signal-to-Distortion Ratio (SDR)
This project introduces Demucs (Deep Extractor for Music Sources), a cutting-edge music source separation model, particularly focusing on drums, bass, and vocals extraction from complex music mixtures. Demucs leverages a U-Net convolutional architecture inspired by Wave-U-Net, incorporating state-of-the-art techniques in deep learning. The latest version, Demucs v4, introduces the Hybrid Transformer Demucs, a novel approach employing a hybrid spectrogram/waveform separation model using Transformers. This model features a dual U-Net structure with a cross-domain Transformer, achieving a Signal-to-Distortion Ratio (SDR) of 9.00 dB on the MUSDB HQ test set. Additionally, by using sparse attention kernels and per-source fine-tuning, a state-of-the-art SDR of 9.20 dB is attained. The paper provides comprehensive insights into the architecture, training methodology, and performance evaluation of Demucs. It discusses model comparisons, system requirements, and practical instructions for using Demucs for music separation tasks. The release notes highlight significant updates and additions, including support for the SDX 2023 Challenge and integration with torchaudio. Moreover, the paper offers guidelines for training Demucs models and reproducing results from the MDX Challenge. To facilitate adoption, Demucs is made available as a Python package, compatible with various operating systems and environments. The paper concludes with citations for proper attribution and licensing information. Demucs represents a significant advancement in music source separation, offering researchers and practitioners a powerful tool for audio processing and analysis tasks.

Citations

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IJARIIE SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. "AN AUDIO STEM EXTRACTOR" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 1696-1704
MLA SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. "AN AUDIO STEM EXTRACTOR." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 1696-1704.
APA SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, & YAMUNA S. (2024). AN AUDIO STEM EXTRACTOR. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 1696-1704.
Chicago SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. "AN AUDIO STEM EXTRACTOR." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 1696-1704.
Oxford SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. 'AN AUDIO STEM EXTRACTOR', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 1696-1704. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AN_AUDIO_STEM_EXTRACTOR_ijariie22907.pdf (Accessed : ).
Harvard SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. (2024) 'AN AUDIO STEM EXTRACTOR', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 1696-1704IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AN_AUDIO_STEM_EXTRACTOR_ijariie22907.pdf (Accessed : )
IEEE SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S, "AN AUDIO STEM EXTRACTOR," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 1696-1704, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/AN_AUDIO_STEM_EXTRACTOR_ijariie22907.pdf [Accessed : ].
Turabian SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. "AN AUDIO STEM EXTRACTOR." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver SUJAY ANIRUTH P V, SYLESHKUMAR N J, JAIKRISHNAN A, and YAMUNA S. AN AUDIO STEM EXTRACTOR. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 1696-1704. Available from: https://ijariie.com/AdminUploadPdf/AN_AUDIO_STEM_EXTRACTOR_ijariie22907.pdf
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