IDMT-SMT-Bass-Single-Track Dataset
收藏Mendeley Data2024-05-10 更新2024-06-28 收录
下载链接:
https://zenodo.org/records/7544099
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资源简介:
The IDMT-SMT-BASS-SINGLE-TRACK dataset comprises of 17 bass lines from different music styles. It is intended as a public evaluation dataset for: retrieval of repetitive bass patterns For each bass line, the pattern length (in seconds) and the begin of the first pattern appearance (in seconds) is annotated. The patterns are in general no exact repetitions but instead contain occasional pitch and rhythm variations. bass transcription Each note is annotated with the score-related parameters onset, offset and pitch. spatial transcription / estimation of the fretboard position Each note is annotated with the instrument-related parameters string number and fret number. estimation of bass guitar plucking styles Each note is played and annotated with one of the 5 plucking style classes: Finger-style (FS) - alternate plucking of the string using the index and middle finger Picked (PK) - plucking of the string using a plastic pick Muted (MU) - plucking of the string using the thumb and index finger while simultaneously damping the string vibration using the palm of the hand Slap-Pluck (SP) - picking of a string using either the index or the middle finger (causing a collision between the string and the upper frets) Slap-Thumb (ST)- striking of the string using the thumb (causing a collision between the string and the upper frets) estimation of bass guitar expression styles (6 classes) Each note is played and annotated with one of the 6 expression style classes: Normal (NO) - no expression, just “regular” bass note playing Harmonics (HA) - flageolet tones Dead-note (DN) - damped, percussive note Bending (BE) - singular bending of the string during vibration Vibrato (VI) - periodic bending and releasing the string during vibration Slide (SL) - slide up or down after note is plucked
创建时间:
2023-06-28
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个包含17条不同音乐风格贝斯音轨的公共评估资源,专门用于音乐信息检索任务,如贝斯模式检索、音符转录、空间位置估计及弹奏与表达风格分类。每条音轨都提供了详细的标注,包括模式信息、音符参数、弦乐器相关数据和多种风格类别,支持多方面的音乐分析研究。
以上内容由遇见数据集搜集并总结生成



