https://github.com/audiolabs/muserc

MUSERC: MUlti SEnsor Recordings: Cello
https://github.com/audiolabs/muserc

Last synced: 9 days ago
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MUSERC: MUlti SEnsor Recordings: Cello

• Host: GitHub
• URL: https://github.com/audiolabs/muserc
• Owner: audiolabs
• License: mit
• Created: 2015-07-30T16:32:17.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2016-07-22T08:42:33.000Z (over 8 years ago)
• Last Synced: 2024-10-30T14:26:27.091Z (15 days ago)
• Language: Python
• Homepage: https://www.audiolabs-erlangen.com/resources/muserc
• Size: 20.5 KB
• Stars: 2
• Watchers: 6
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        


# MUSERC Pre-Processing

Pre-process the raw [MUSERC](https://www.audiolabs-erlangen.com/resources/muserc) dataset so that the audio, video and sensor data is cut, cleaned up and compressed for easier and faster handling.

## Audio

* Recorded using AKG C414

* Sampling Rate 48000 Hz

* Raw Data: 24bit uncompressed mono PCM

* Pre-Processed Data: 16bit uncompressed mono PCM

## Video

* 2000fps high speed camera

* Focusing on the string to extract the movement pattern

* Resolution 1024x768

* Raw Data: H264 lossless mode

* Pre-Processed Data: H264 lossy compression

## Sensors

* Measured finger position using a linear membrane potentiometer.

* Recorded using 12bit D/A at 750Hz.

## Running the Pre-Processing

Video processing requires [ffmpeg](https://ffmpeg.org/download.html) with [x264](https://trac.ffmpeg.org/wiki/CompilationGuide/Quick/libx264).

* Run `make`

`make` installs pip requirements and fetches the [dataset](https://www.audiolabs-erlangen.com/resources/muserc) (~4gb).

## Authors

* [Fabian-Robert Stöter](https://www.audiolabs-erlangen.de/fau/assistant/stoeter), [International Audio Laboratories Erlangen](https://www.audiolabs-erlangen.de)

* Michael Müller, TU Graz

* [Bernd Edler](https://www.audiolabs-erlangen.de/fau/professor/edler),[International Audio Laboratories Erlangen](https://www.audiolabs-erlangen.de)

## Licence

MUSERC is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/). If you use this dataset in your academic research, please cite our paper:

[Fabian-Robert Stöter, Michael Müller, and Bernd Edler. 2015. Multi-Sensor Cello Recordings for Instantaneous Frequency Estimation. In Proceedings of the 23rd Annual ACM Conference on Multimedia Conference (MM '15). ACM, New York, NY, USA, 995-998.](http://dl.acm.org/citation.cfm?id=2806384)