"Polyphonic Singing Datasets for MIR Research" » History » Version 2
Polina Proutskova, 2020-10-06 04:00 PM
1 | 1 | Polina Proutskova | h1. "Polyphonic Singing Datasets for MIR Research" |
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2 | 1 | Polina Proutskova | |
3 | 2 | Polina Proutskova | Helene Cuesta and Sebastian Rosenzweig |
4 | 2 | Polina Proutskova | |
5 | 1 | Polina Proutskova | h2. Abstract: |
6 | 1 | Polina Proutskova | |
7 | 1 | Polina Proutskova | We showcase two recently published datasets of polyphonic a |
8 | 1 | Polina Proutskova | cappella vocal music. Both publicly available datasets form exciting |
9 | 1 | Polina Proutskova | research scenarios for music information retrieval (MIR) tasks such as |
10 | 1 | Polina Proutskova | (multiple) F0-estimation or source separation in vocal music. First, we |
11 | 1 | Polina Proutskova | present the Erkomaishvili dataset, a curated corpus of traditional |
12 | 1 | Polina Proutskova | Georgian vocal music. The corpus is based on historic tape recordings of |
13 | 1 | Polina Proutskova | three-voice Georgian songs performed by the former master chanter Artem |
14 | 1 | Polina Proutskova | Erkomaishvili. Second, we present Dagstuhl ChoirSet, a multitrack |
15 | 1 | Polina Proutskova | dataset of "Western" a cappella choral music. The dataset includes |
16 | 1 | Polina Proutskova | recordings of an amateur vocal ensemble performing two choir pieces in |
17 | 1 | Polina Proutskova | full choir and quartet settings. The audio data was recorded during an |
18 | 1 | Polina Proutskova | MIR seminar at Schloss Dagstuhl using different close-up microphones to |
19 | 1 | Polina Proutskova | capture the individual singers' voices. |