International Audio Laboratories Erlangen

Throat Microphones for Vocal Music Analysis

Due to the complex nature of the human voice, the computational analysis of polyphonic vocal music recordings constitutes a challenging scenario. Development and evaluation of automated music processing methods often rely on multitrack recordings comprising one or several tracks per voice. However, recording singers separately is neither always possible, nor is it generally desirable. As a consequence, producing clean recordings of individual voices for computational analysis is problematic. In this context, one may use throat microphones which capture the vibrations of a singers’ throat, thus being robust to other surrounding acoustic sources. On this website, we provide some examples from a collection of multimedia recordings of traditional three-voice Georgian vocal music.

Links:

Project Website: Computational Analysis of Traditional Georgian Vocal Music (GVM)

Copyright and Publications

This is the accompanying website for the Late-Breaking/Demo "Throat Microphones for Vocal Music Analysis" submitted at ISMIR 2018. If you publish results obtained using this data, please cite:

1. Frank Scherbaum, Sebastian Rosenzweig, Meinard Müller, Daniel Vollmer, and Nana Mzhavanadze
   Throat Microphones for Vocal Music Analysis
   In Late-Breaking and Demo Session of the International Conference on Music Information Retrieval (ISMIR), 2018. Bibtex PDF Demo

   @inproceedings{ScherbaumRMVM18_ThroatMic_ISMIR-LBD,
   author = {Frank Scherbaum and Sebastian Rosenzweig and Meinard M{\"u}ller and Daniel Vollmer and Nana Mzhavanadze},
   title = {Throat Microphones for Vocal Music Analysis},
   booktitle = {Late-Breaking and Demo Session of the International Conference on Music Information Retrieval ({ISMIR})},
   address = {Paris, France},
   year = {2018},
   url-pdf = {2018_ScherbaumRMVM_GVM_ISMIR-LBD.pdf},
   url-demo={https://www.audiolabs-erlangen.de/resources/MIR/2018-ISMIR-LBD-ThroatMics}
   }

2. Frank Scherbaum, Nana Mzhavanadze, Sebastian Rosenzweig, and Meinard Müller
   Multi-Media Recordings of Traditional Georgian Vocal Music for Computational Analysis
   In Proceedings of the International Workshop on Folk Music Analysis (FMA): 1–6, 2019. Bibtex PDF

   @inproceedings{ScherbaumMRM19_MultimediaRecordings_FMA,
   author    = {Frank Scherbaum and Nana Mzhavanadze and Sebastian Rosenzweig and Meinard M{\"u}ller},
   title     = {Multi-Media Recordings of Traditional {G}eorgian Vocal Music for Computational Analysis},
   booktitle = {Proceedings of the International Workshop on Folk Music Analysis ({FMA})},
   address   = {Birmingham, UK},
   year      = {2019},
   pages     = {1--6},
   url-pdf   = {2019_ScherbaumMRM_GeorgianData_FMA.pdf}
   }

The data is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Recordings