DeepAI AI Chat
Log In Sign Up

Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation

08/06/2020
by   Ching-Yu Chiu, et al.
National Cheng Kung University
Academia Sinica
0

Blind music source separation has been a popular and active subject of research in both the music information retrieval and signal processing communities. To counter the lack of available multi-track data for supervised model training, a data augmentation method that creates artificial mixtures by combining tracks from different songs has been shown useful in recent works. Following this light, we examine further in this paper extended data augmentation methods that consider more sophisticated mixing settings employed in the modern music production routine, the relationship between the tracks to be combined, and factors of silence. As a case study, we consider the separation of violin and piano tracks in a violin piano ensemble, evaluating the performance in terms of common metrics, namely SDR, SIR, and SAR. In addition to examining the effectiveness of these new data augmentation methods, we also study the influence of the amount of training data. Our evaluation shows that the proposed mixing-specific data augmentation methods can help improve the performance of a deep learning-based model for source separation, especially in the case of small training data.

READ FULL TEXT

page 1

page 2

page 6

10/31/2017

Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction

The state of the art in music source separation employs neural networks ...
06/16/2021

Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking

Due to advances in deep learning, the performance of automatic beat and ...
02/17/2020

Addressing the confounds of accompaniments in singer identification

Identifying singers is an important task with many applications. However...
03/28/2022

Improved singing voice separation with chromagram-based pitch-aware remixing

Singing voice separation aims to separate music into vocals and accompan...
04/23/2018

An Overview of Lead and Accompaniment Separation in Music

Popular music is often composed of an accompaniment and a lead component...
07/28/2021

Neural Remixer: Learning to Remix Music with Interactive Control

The task of manipulating the level and/or effects of individual instrume...
03/26/2021

Modeling the Compatibility of Stem Tracks to Generate Music Mashups

A music mashup combines audio elements from two or more songs to create ...