Difference between revisions of "2017:Drum Transcription Results"
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− | + | == Introduction == | |
+ | |||
+ | |||
+ | == What's new == | ||
+ | |||
+ | Two new datasets. | ||
+ | |||
+ | |||
+ | == Submissions == | ||
+ | |||
+ | https://drive.google.com/open?id=0B5QVjGCSDYW1Nk16dkZmYUpEM2c | ||
+ | |||
+ | |||
+ | {| class="wikitable" | ||
+ | ! | ||
+ | ! Abstract | ||
+ | ! Contributors | ||
+ | |- | ||
+ | | CS1-CS3 (<em>Chordino</em>) | ||
+ | | style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2017/CS.pdf PDF] | ||
+ | | Carl Southall | ||
+ | |- | ||
+ | | CW1-CW3 | ||
+ | | style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2017/CW.pdf PDF] | ||
+ | | Chih-Wei Wu | ||
+ | |- | ||
+ | | RV1-RV4 | ||
+ | | style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/RV.pdf PDF] | ||
+ | | Richard Vogl | ||
+ | |} | ||
+ | |||
+ | == Results == | ||
+ | |||
+ | === Overall === | ||
+ | <csv>2017/dt/eval-set_results_global.csv</csv> | ||
+ | |||
+ | 2005 baseline: 0.670 (YGO) *1 | ||
+ | |||
+ | === IDMT === | ||
+ | <csv>2017/dt/eval-set_results_IDMT.csv</csv> | ||
+ | |||
+ | 2005 baseline: 0.753 (CD) | ||
+ | |||
+ | === KT === | ||
+ | <csv>2017/dt/eval-set_results_KT.csv</csv> | ||
+ | |||
+ | 2005 baseline: 0.617 (YGO) | ||
+ | |||
+ | === RBMA === | ||
+ | <csv>2017/dt/eval-set_results_RBMA.csv</csv> | ||
+ | |||
+ | === MEDLEY === | ||
+ | <csv>2017/dt/eval-set_results_MEDLEY.csv</csv> | ||
+ | |||
+ | === GEN === | ||
+ | <csv>2017/dt/eval-set_results_GEN.csv</csv> |
Revision as of 05:20, 14 October 2017
Contents
Introduction
What's new
Two new datasets.
Submissions
https://drive.google.com/open?id=0B5QVjGCSDYW1Nk16dkZmYUpEM2c
Abstract | Contributors | |
---|---|---|
CS1-CS3 (Chordino) | Carl Southall | |
CW1-CW3 | Chih-Wei Wu | |
RV1-RV4 | Richard Vogl |
Results
Overall
Algorithm | mean fm | mean pr | mean rc | BD mean fm | SD mean fm | HH mean fm |
---|---|---|---|---|---|---|
CW1 | 0.51 | 0.46 | 0.68 | 0.68 | 0.48 | 0.38 |
CW3 | 0.53 | 0.50 | 0.65 | 0.67 | 0.46 | 0.42 |
CW2 | 0.55 | 0.52 | 0.66 | 0.70 | 0.55 | 0.40 |
RV3 | 0.68 | 0.74 | 0.70 | 0.81 | 0.64 | 0.51 |
RV2 | 0.67 | 0.69 | 0.73 | 0.78 | 0.67 | 0.51 |
RV1 | 0.71 | 0.75 | 0.74 | 0.82 | 0.70 | 0.53 |
RV4 | 0.70 | 0.74 | 0.73 | 0.81 | 0.70 | 0.52 |
CS1 | 0.61 | 0.56 | 0.73 | 0.79 | 0.55 | 0.46 |
CS3 | 0.63 | 0.59 | 0.75 | 0.78 | 0.58 | 0.49 |
CS2 | 0.63 | 0.61 | 0.71 | 0.78 | 0.57 | 0.49 |
2005 baseline: 0.670 (YGO) *1
IDMT
Algorithm | mean fm | mean pr | mean rc | BD mean fm | SD mean fm | HH mean fm |
---|---|---|---|---|---|---|
CW1 | 0.37 | 0.30 | 0.66 | 0.55 | 0.45 | 0.26 |
CW3 | 0.42 | 0.37 | 0.62 | 0.53 | 0.44 | 0.32 |
CW2 | 0.41 | 0.35 | 0.67 | 0.56 | 0.54 | 0.28 |
RV3 | 0.62 | 0.73 | 0.68 | 0.73 | 0.70 | 0.45 |
RV2 | 0.66 | 0.69 | 0.75 | 0.74 | 0.71 | 0.54 |
RV1 | 0.66 | 0.74 | 0.73 | 0.75 | 0.72 | 0.53 |
RV4 | 0.66 | 0.74 | 0.72 | 0.74 | 0.73 | 0.51 |
CS1 | 0.51 | 0.49 | 0.64 | 0.62 | 0.48 | 0.42 |
CS3 | 0.51 | 0.51 | 0.63 | 0.60 | 0.48 | 0.43 |
CS2 | 0.52 | 0.54 | 0.63 | 0.60 | 0.51 | 0.43 |
2005 baseline: 0.753 (CD)
KT
Algorithm | mean fm | mean pr | mean rc | BD mean fm | SD mean fm | HH mean fm |
---|---|---|---|---|---|---|
CW1 | 0.48 | 0.40 | 0.67 | 0.59 | 0.44 | 0.40 |
CW3 | 0.48 | 0.43 | 0.62 | 0.58 | 0.42 | 0.41 |
CW2 | 0.52 | 0.48 | 0.64 | 0.60 | 0.53 | 0.41 |
RV3 | 0.62 | 0.73 | 0.60 | 0.77 | 0.63 | 0.46 |
RV2 | 0.63 | 0.66 | 0.65 | 0.76 | 0.68 | 0.45 |
RV1 | 0.65 | 0.73 | 0.64 | 0.80 | 0.68 | 0.47 |
RV4 | 0.65 | 0.72 | 0.63 | 0.79 | 0.68 | 0.44 |
CS1 | 0.53 | 0.48 | 0.63 | 0.71 | 0.50 | 0.38 |
CS3 | 0.56 | 0.52 | 0.65 | 0.71 | 0.53 | 0.40 |
CS2 | 0.55 | 0.52 | 0.61 | 0.70 | 0.52 | 0.39 |
2005 baseline: 0.617 (YGO)
RBMA
Algorithm | mean fm | mean pr | mean rc | BD mean fm | SD mean fm | HH mean fm |
---|---|---|---|---|---|---|
CW1 | 0.50 | 0.46 | 0.61 | 0.71 | 0.35 | 0.39 |
CW3 | 0.54 | 0.51 | 0.63 | 0.75 | 0.30 | 0.47 |
CW2 | 0.54 | 0.52 | 0.61 | 0.73 | 0.37 | 0.46 |
RV3 | 0.69 | 0.71 | 0.73 | 0.89 | 0.49 | 0.55 |
RV2 | 0.70 | 0.68 | 0.78 | 0.91 | 0.60 | 0.55 |
RV1 | 0.72 | 0.74 | 0.75 | 0.91 | 0.62 | 0.56 |
RV4 | 0.72 | 0.73 | 0.76 | 0.92 | 0.64 | 0.57 |
CS1 | 0.66 | 0.60 | 0.79 | 0.88 | 0.45 | 0.57 |
CS3 | 0.66 | 0.60 | 0.81 | 0.87 | 0.49 | 0.58 |
CS2 | 0.64 | 0.60 | 0.72 | 0.87 | 0.43 | 0.54 |
MEDLEY
Algorithm | mean fm | mean pr | mean rc | BD mean fm | SD mean fm | HH mean fm |
---|---|---|---|---|---|---|
CW1 | 0.62 | 0.61 | 0.68 | 0.76 | 0.52 | 0.53 |
CW3 | 0.59 | 0.56 | 0.66 | 0.71 | 0.49 | 0.52 |
CW2 | 0.62 | 0.62 | 0.65 | 0.75 | 0.55 | 0.52 |
RV3 | 0.69 | 0.79 | 0.66 | 0.74 | 0.62 | 0.57 |
RV2 | 0.66 | 0.77 | 0.63 | 0.60 | 0.62 | 0.64 |
RV1 | 0.73 | 0.78 | 0.73 | 0.75 | 0.70 | 0.60 |
RV4 | 0.70 | 0.79 | 0.68 | 0.70 | 0.68 | 0.61 |
CS1 | 0.68 | 0.65 | 0.76 | 0.83 | 0.60 | 0.57 |
CS3 | 0.74 | 0.70 | 0.82 | 0.84 | 0.67 | 0.65 |
CS2 | 0.72 | 0.71 | 0.76 | 0.82 | 0.62 | 0.65 |
GEN
Algorithm | mean fm | mean pr | mean rc | BD mean fm | SD mean fm | HH mean fm |
---|---|---|---|---|---|---|
CW1 | 0.60 | 0.53 | 0.76 | 0.80 | 0.64 | 0.33 |
CW3 | 0.63 | 0.60 | 0.72 | 0.79 | 0.66 | 0.36 |
CW2 | 0.65 | 0.65 | 0.72 | 0.84 | 0.74 | 0.33 |
RV3 | 0.76 | 0.73 | 0.83 | 0.90 | 0.77 | 0.50 |
RV2 | 0.70 | 0.63 | 0.83 | 0.89 | 0.75 | 0.38 |
RV1 | 0.78 | 0.74 | 0.86 | 0.91 | 0.80 | 0.50 |
RV4 | 0.76 | 0.72 | 0.84 | 0.90 | 0.79 | 0.48 |
CS1 | 0.68 | 0.59 | 0.84 | 0.90 | 0.73 | 0.37 |
CS3 | 0.69 | 0.61 | 0.85 | 0.86 | 0.75 | 0.39 |
CS2 | 0.72 | 0.65 | 0.84 | 0.89 | 0.74 | 0.42 |