Published May 24, 2023 | Version v1
Dataset Open

Multitrack Western Instrumental Classical Trio Dataset

  • 1. ROR icon Medizinische Hochschule Hannover
  • 2. Cluster of Excellence Hearing4all

Description

Synthesized Trio dataset with added percussion (hammer sounds) based on the piano of the original piece. The original use case was to find remixing preferences for cochlear implant users in Western instrumental classical music with a low number of instruments and with a similar separation of musical components as used in pop music remixing (i.e. melody, bass, accompaniment, and percussion).

 

Note, that instruments differ from the original composition. The used instruments are shown in the table below. The compositions' MIDI files were kindly provided by Classical Archive (www.classicalarchives.com/midi.html), and Native Instruments kindly supplied us with the Contact library for the synthesis.

 

Instruments selected for synthesis:

  Melody Bass Accompaniment Percussion
Arrangement 1 Clarinet Cello Piano Dampened Piano (Leather)
Arrangement 2 Cello (Bass-)Clarinet Harpsichord Dampened Piano (Felt)

 

The excerpts were taken from the following pieces:

  1. Dvorak - Trio No 4 in E minor for Piano, Violin & Cello Op 90
  2. Mendelssohn - Piano Trio No 1 in D minor. Op 49 
  3. Bach - Trio Sonata in G (BWV1039)
  4. Debussy - Piano Trio in G major

 

Each track is loudness balanced using the ReplayGain implemented foobar2000.


For more information, please refer to the corresponding paper: Althoff, Gajecki, Nogueira (2024) Trends In Hearing.

If you use this dataset please cite: Althoff, Gajecki, Nogueira (2024) Trends In Hearing.

Files

Excerpt1_Arrangement1_Accompaniment.wav

Files (396.6 MB)

Name Size Download all
md5:ced14e158060af67c69437896d89f9e3
5.3 MB Preview Download
md5:6ec1079f473f54f8c1c5e4d069014a1f
5.3 MB Preview Download
md5:617970140af8531cd5170779a0fb6d84
5.3 MB Preview Download
md5:0dc48313e0723bf60d471b4be33af60a
5.3 MB Preview Download
md5:bb7e651781e2f79c3ea2ed1be6f9ee70
5.3 MB Preview Download
md5:7f4e6164669d639dbfce6cc20552b83f
5.3 MB Preview Download
md5:2efb34aff3de53427ccd8f69917887ea
5.3 MB Preview Download
md5:fa7d78cf05c40e066c2e41c14e83f726
5.3 MB Preview Download
md5:0ab3daec4b01a1bbe978e16a9ca868d4
7.1 MB Preview Download
md5:813f1759362fd2e467a4ac84aa4ac046
7.1 MB Preview Download
md5:5e2e7a2a970fb568319a0ab8a90fd43b
7.1 MB Preview Download
md5:e55965ba95cb19a7accd50b3ab82aed3
7.1 MB Preview Download
md5:e5a87660e62f16cd98fc04d474511c6d
7.1 MB Preview Download
md5:04e082029a92ed4c3e2cb187aab9516b
7.1 MB Preview Download
md5:ccf8aba48d4be80135522980d11af606
7.1 MB Preview Download
md5:f064040b11103666d1cd2f9b1f20c325
7.1 MB Preview Download
md5:cc17efa16809d42a52179d30054c314e
5.3 MB Preview Download
md5:43603f91a19e48212274883f8dbfd24b
5.3 MB Preview Download
md5:d931075470213b203c3e0dcdec6bc03e
5.3 MB Preview Download
md5:70d1f81226957fc43989a6a3185b9d74
5.3 MB Preview Download
md5:309ff0e3caf2effb33f904d461d5ed39
5.3 MB Preview Download
md5:f355b5eaf2acb0b840b60b24f1a4ab18
5.3 MB Preview Download
md5:b54df17e7dee967a3c9dc26d53488a32
5.3 MB Preview Download
md5:5cfca18aabbe01f4dbc24c9626c12703
5.3 MB Preview Download
md5:220246a8fc3fdfc2ab40c0c3c7fb4036
5.3 MB Preview Download
md5:a08cfd25c167499d1c531e22a3b86c97
5.3 MB Preview Download
md5:2e5838792eb340c5ec8ae52f405ecd21
5.3 MB Preview Download
md5:211d8b43857e59bbcf551a1c1492b3e7
5.3 MB Preview Download
md5:a958fbb45d09fda83d3e43313506edcd
5.3 MB Preview Download
md5:f02cc9aa5aaa0ac37db0bc05837320f5
5.3 MB Preview Download
md5:67a0dc54cf4d919b9331366d7d140754
5.3 MB Preview Download
md5:6ac01043ed09bdca5dbfef188a1ca021
5.3 MB Preview Download
md5:518892f049e3b2d595596d90e86274d4
5.3 MB Preview Download
md5:bbf457bdc0c5e95163d17628e0ab1f11
5.3 MB Preview Download
md5:3cdbd1dcf75c1dfab323812206e88a9a
5.3 MB Preview Download
md5:f78702ac13d3c39fc38b05976779a036
5.3 MB Preview Download
md5:bebbc9e8c9897dd0bbfa7eb29b132e21
5.3 MB Preview Download
md5:93f2ea8c3bd5902aa3f25fd97d1dbf84
5.3 MB Preview Download
md5:06a1d2e4160950951922e94ea4542031
5.3 MB Preview Download
md5:0d27bebcae4805d37d9f6cb7ea4ba918
5.3 MB Preview Download
md5:e90760e89e915885310a69deeb56eec0
5.3 MB Preview Download
md5:17549e5f632ce67a0c1c6b9f70886282
5.3 MB Preview Download
md5:985f0790deb2470821f09de05811666f
5.3 MB Preview Download
md5:8f7e549033218938ff11ad5e7113aef6
5.3 MB Preview Download
md5:032bf72993a5a1da90abc348dafe2a84
5.4 MB Preview Download
md5:2edc40485f70d7ec18270eb97a805219
5.4 MB Preview Download
md5:177aeffc0734f63b5369f42319a4816c
5.4 MB Preview Download
md5:26428f02d882afb6e35bd6415a76e7f3
5.4 MB Preview Download
md5:3935266fd5e6a53c5f982c56368832b1
5.3 MB Preview Download
md5:00181605b576e94f4001759678e86327
5.3 MB Preview Download
md5:9ae4daa2c65c6379fdec2a602d36d51f
5.3 MB Preview Download
md5:ac0d35774b5ec77db4e791e4d2216690
5.3 MB Preview Download
md5:002c5342d30acc97f7efa38c2ee041a1
5.3 MB Preview Download
md5:39d64e6da7d5b3390f2820a64ed8d114
5.3 MB Preview Download
md5:cea08f4411707d720038b4003c24f382
5.3 MB Preview Download
md5:cf2f341c8648edd4b4b2463690ae4425
5.3 MB Preview Download
md5:bab22b7e767cfbee51a5cac96f1e0931
5.3 MB Preview Download
md5:db6b6ef6958b578e890665daf901dc65
5.3 MB Preview Download
md5:407863bb7e80872cc063d96377fa72a1
5.3 MB Preview Download
md5:e6b60d2f23e7760a8a8967e5ed67872b
5.3 MB Preview Download
md5:3384bd763618cb6838fd4dc9229e91d1
5.3 MB Preview Download
md5:e57d3abf63ea62b9efe3417429e7d491
5.3 MB Preview Download
md5:f76768d12e552ecdc793dd801bcc2eb3
5.3 MB Preview Download
md5:4dc2d8772550cbe20af3b2cd213e27c7
5.3 MB Preview Download
md5:1d381574a6e163b17edf46bc304347ff
5.4 MB Preview Download
md5:f2b911a1aba713f6774e2b2bf471b0f7
5.4 MB Preview Download
md5:ed65afd41f50ce40158ce680a992ee48
5.4 MB Preview Download
md5:58275ea0417204201fa67b3ac0ca2815
5.4 MB Preview Download
md5:daa8189d7489ae1a080db1a2f69dac8b
5.3 MB Preview Download
md5:43ef4e9dd564f14fa4f69d031656764b
5.3 MB Preview Download
md5:f73fcacdcd0479216cb4b816fe176bfa
5.3 MB Preview Download
md5:2063c9ebd634ce668b735d6b6f5e4ca4
5.3 MB Preview Download

Additional details

Related works

Is part of
Publication: 10.1177/23312165241245219 (DOI)

Funding

Deutsche Forschungsgemeinschaft
Music4u: Personalized Objective Deep Learning Models to Make Music More Accessible for Cochlear Implant Users 446611346