IDMT-SMT-Bass

[1] Abeßer, Jakob; Lukashevich, Hanna; Schuller, Gerald:

Feature-based extraction of plucking and expression styles of the electric bass guitar, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010

[2] Abesser, Jakob; Dittmar, Christian; Schuller, Gerald:

Automatic Recognition and Parametrization of Frequency Modulation Techniques in Bass-Guitar Recordings, Proceedings of the 42nd AES Conference on Semantic Audio 2011, Ilmenau, Germany

The IDMT-SMT-Bass database is a large database for automatic bass transcription and signal processing.

The overall duration of the audio material is approx. 3.6 hours.

The dataset consists of approx. 4300 WAV files (44.1 kHz, 24bit) with single recorded notes.

Overall, 10 different bass-related playing techniques namely 5 plucking styles

• fingerstyle (FS)
• picked (PK)
• muted (MU)
• slap-thumb (ST)
• slap-pluck (SP)

and 5 expression styles

• normal (NO)
• vibrato (VI)
• bending (BE)
• harmonics (HA)
• dead-note (DN)

are incorporated. A further explaination of the playing techniques is provided in [1].

For each of the three expression techniques (vibrato, bending, slide), two subclasses were defined in [2]:

• fast vibrato, slow vibrato
• semi-tone bending, quarter-note bending
• slide up, slide down (recorded with fretless bass guitar)
  

3 different 4-string electric bass guitars, each with 3 different pick-up settings were used for recording.

The notes cover the common pitch range of a 4-string bass guitar from E1 (41.2 Hz) to G3 (196.0 Hz).

The dataset is provided for evaluation purpose under the Creative Commons licence CC BY-NC-ND 4.0.

Author: Jakob Abeßer (Fraunhofer IDMT)

Download Dataset: https://zenodo.org/record/7188892

We would like to thank Michael Stein and Ralf Heß for providing their instruments.

This work has been partly supported by the german research project GlobalMusic2One funded by the Federal Ministry of Education and Research.