The cante2midi dataset contains 20 tracks taken from the corpus and includes a large variety of styles and complexity with respect to melodic ornamentation. We provide note-level transcriptions of the singing voice melody in a MIDI-like format, where each note is defined by onset time, duration and a quantized MIDI pitch. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz IDs. Content: README (5KB): Text file containing detailed descriptions of manual and automatic annotations. meta-data (10KB): XML file containing meta-information: Source (anthology name, CD no. and track no....
Automatic singing transcription and analysis from polyphonic music records are essential in a number...
vocadito is a dataset of 40 short excerpts of solo, monophonic singing. The excerpts are sung in 7 d...
Automatically detecting the singer by analyzing audio is a challenging task which gains in complexit...
<p>The <strong>cante2midi</strong> dataset contains 20 tracks taken from the corpus and includes a l...
The cante100 dataset contains 100 tracks taken from the corpus. We defined 10 style families of whic...
The canteFAN dataset contains 10 recordings of the fandango style taken from the corpus. We manually...
We introduce the MetaMIDI Dataset (MMD), a large scale collection of 436,631 MIDI files and metadata...
We introduce the MetaMIDI Dataset (MMD) a large scale collection of 436,631 MIDI files and metadata....
The cante100 dataset contains 100 tracks taken from the corpus. We defined 10 style families of whic...
Περιέχει το πλήρες κείμενοThe increasing availability of on-line music has motivated a growing inter...
The increasing availability of on-line music has motivated a growing interest for organizing, commer...
The Groove2Groove MIDI Dataset is a parallel corpus of synthetic MIDI accompaniments in almost 3000 ...
This dataset contains a music collection of 72 sung excerpts representative of three a cappella sing...
Description: This dataset is a collection of boundary annotations of a cappella singing performed by...
In our daily lives, we are constantly surrounded by music, and we are deeply influenced by music. Ma...
Automatic singing transcription and analysis from polyphonic music records are essential in a number...
vocadito is a dataset of 40 short excerpts of solo, monophonic singing. The excerpts are sung in 7 d...
Automatically detecting the singer by analyzing audio is a challenging task which gains in complexit...
<p>The <strong>cante2midi</strong> dataset contains 20 tracks taken from the corpus and includes a l...
The cante100 dataset contains 100 tracks taken from the corpus. We defined 10 style families of whic...
The canteFAN dataset contains 10 recordings of the fandango style taken from the corpus. We manually...
We introduce the MetaMIDI Dataset (MMD), a large scale collection of 436,631 MIDI files and metadata...
We introduce the MetaMIDI Dataset (MMD) a large scale collection of 436,631 MIDI files and metadata....
The cante100 dataset contains 100 tracks taken from the corpus. We defined 10 style families of whic...
Περιέχει το πλήρες κείμενοThe increasing availability of on-line music has motivated a growing inter...
The increasing availability of on-line music has motivated a growing interest for organizing, commer...
The Groove2Groove MIDI Dataset is a parallel corpus of synthetic MIDI accompaniments in almost 3000 ...
This dataset contains a music collection of 72 sung excerpts representative of three a cappella sing...
Description: This dataset is a collection of boundary annotations of a cappella singing performed by...
In our daily lives, we are constantly surrounded by music, and we are deeply influenced by music. Ma...
Automatic singing transcription and analysis from polyphonic music records are essential in a number...
vocadito is a dataset of 40 short excerpts of solo, monophonic singing. The excerpts are sung in 7 d...
Automatically detecting the singer by analyzing audio is a challenging task which gains in complexit...