Using dynamic time warping to improve the classical music production workflow

The current music production workflow, comprising recording, editing, mixing, and mastering music, requires a great deal of manual work for the sound engineer. This thesis aims to bring some recent advances in Music Information Retrieval (MIR) techniques to music production tools, with the goal of streamlining the current process followed by sound engineers. We explored all areas in the music production workflow (with a focus on classical music) that could benet from digital signal processing (DSP) and MIR-based tools, built and iterated on these tools, and transformed the tools into products that are beneficial and easy to use. We collaborated with the Boston Symphony Orchestra (BSO) sound engineers to gather requirements for this work, which led to the identification of our two tools: an automatic marking transfer (AMT) system and an audio search (AS) system. We then collaborated with other potential users for both AMT and AS tools, including sound engineers from radio stations in the Boston area. This enabled us to identify additional workflows and finalize requirements for these tools. Based on these, we created successful standalone applications for AMT and AS.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Pramanick, Smriti.

Advisor dc:contributor.advisor

• Eran Egozy.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/124260

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/124260