EthMusMIR - Analysis Server

Architecture is heavily inspired by (copied from) the Falcon API First Steps Tutorial

Based on Python 3.5

Install with Conda

Ubuntu

cd ethmusmir
conda env create --name EthMusMIR -f environment.yml -v
conda activate EthMusMIR

OSX

conda env create --name EthMusMIR -f environment-osx.yml -v

Run Server with

mkdir tmp
LOOK_STORAGE_PATH=tmp/ gunicorn --reload 'mirserver.app:get_app()'

Send a Mono-Wave File for analysis

from somewhere else ..

http POST localhost:8000/v1/audio Content-Type:audio/wav < epianoC2.wav

You should receive:

HTTP/1.1 201 Created
Connection: close
Date: Tue, 08 Oct 2019 16:13:57 GMT
Server: gunicorn/19.9.0
content-length: 59
content-type: application/json; charset=UTF-8
location: /audio/2add4100-6630-4521-a4cc-128da173c257.wav

{
   "track": {
       "duration": 3.0229931972789115,
       "tempo": "nan"
   }
}

Added code from: M. Marolt, C. Bohak, A. Kavčič, and M. Pesek, "Automatic segmentation of ethnomusicological field recordings," Applied sciences, vol. 9, iss. 3, pp. 1-12, 2019.

HTTP/1.1 201 Created
Connection: close
Date: Thu, 10 Oct 2019 14:47:41 GMT
Server: gunicorn/19.9.0
content-length: 387
content-type: application/json; charset=UTF-8
location: /audio/b35fb930-90d1-42a6-a870-24d3e9713a09.wav

{
   "track": {
       "duration": 11.0120625,
       "parts": [
           {
               "content": "speech",
               "duration": 1,
               "start": 0
           },
           {
               "content": "solo singing",
               "duration": 2,
               "start": 1
           },
           {
               "content": "instrumental",
               "duration": 1,
               "start": 3
           },
           {
               "content": "choir singing",
               "duration": 3,
               "start": 4
           },
           {
               "content": "solo singing",
               "duration": 1,
               "start": 7
           },
           {
               "content": "speech",
               "duration": 2,
               "start": 8
           }
       ],
       "tempo": "nan"
   }
}