Papers

Contrastive Learning based Deep Latent Masking for Music Source Seperation

International Conference
2021~
작성자
dsp
작성일
2023-08-11 11:20
조회
635
Authors : Jihyun Kim, Hong-Goo Kang

Year : 2023

Publisher / Conference : INTERSPEECH

Research area : Audio Signal Processing, Source Separation

Presentation : Poster

Recent studies on music source separation have extended their applicability to generic audio signals. Real-time applications for music source separation are necessary to provide services such as custom equalizers or to improve the sound of live streaming with diverse effects. However, most prior methods are unsuitable for real-time applications due to their high computational complexity, large memory usage, or long latency. To overcome these problems, we propose a Wave-U-Net type of music source separation network that utilizes high-dimensional masking for the deep latent domain features. We also introduce a contrastive learning technique to estimate the salient latent space embedding of each target source using a masking-based approach. The performance of our proposed model is evaluated on the MUSDB18HQ dataset in comparison with several baselines. The experiments confirm that our proposed model is capable of real-time processing and outperforms existing models.
전체 360
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358 International Conference Woo-Jin Chung, Hong-Goo Kang "Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator" in INTERSPEECH, 2024
357 International Conference Juhwan Yoon, Woo Seok Ko, Seyun Um, Sungwoong Hwang, Soojoong Hwang, Changhwan Kim, Hong-Goo Kang "UNIQUE : Unsupervised Network for Integrated Speech Quality Evaluation" in INTERSPEECH, 2024
356 International Conference Yanjue Song, Doyeon Kim, Hong-Goo Kang, Nilesh Madhu "Spectrum-aware neural vocoder based on self-supervised learning for speech enhancement" in EUSIPCO, 2024
355 International Conference Hyewon Han, Naveen Kumar "A cross-talk robust multichannel VAD model for multiparty agent interactions trained using synthetic re-recordings" in Hands-free Speech Communication and Microphone Arrays (HSCMA, Satellite workshop in ICASSP), 2024
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351 International Conference Hejung Yang, Hong-Goo Kang "On Fine-Tuning Pre-Trained Speech Models With EMA-Target Self-Supervised Loss" in ICASSP, 2024