BUSCADOR RECOLECTA

Turkish şarkı vocal dataset is a collection of recordings of compositions from the vocal form şarkı. The recordings are selected from a musicBrainz collection of Turkish music: /n/nhttp://musicbrainz.org/collection/544f7aec-dba6-440c-943f-103cf344efbb. /n/n The collection has annotations with lyrics. Each lyrical phrase is aligned to its corresponding segment in the audio. It features 10 performances of different compositions. Five are sung by male and 5 by female singer. The recordings are selected so that there is only a single main vocalist (or the intensity of the back vocalst is relatively low compared to the main vocalist). Accompanying instruments are mainly string ensembles. No percussive instruments are present. Audio is in .wav format./n- Lyrical phrases annotations-/n /nThe audio is segmented into one-section chunks (a section is nakarat, meyan etc.)/nEach audio segment is aligned to the lyrical phrases. A phrase corresponds roughly to a musical bar and contains 1 or 2 words. /n/nAn annotation file is in .TextGrid format of Praat.

Turkish şarkı vocal dataset is a collection of recordings of compositions from the vocal form şarkı. The recordings/nare selected from a musicBrainz collection of Turkish music/n/nhttp://musicbrainz.org/collection/544f7aec-dba6-440c-943f-103cf344efbb /n/nThe collection has annotations with lyrics. Each lyrical phrase is aligned to its corresponding segment in the audio.

Turkish makam acapella sections dataset is sung by professional singers and is a collection of recordings of compositions from the vocal form ?ark?. They are selected to be the same as the recordings in version two of http://compmusic.upf.edu/turkish-sarki/nThe main intention is to provide acapella counterpart to polyphonic recordings.

This release contains 2095 sections annotated in 257 audio recordings of 58 compositions. The midi and SymbTr-scores of the compositions are also included in the dataset. The section test dataset for classical Ottoman-Turkish makam music. This repository contains the audio section annotations and the scores used in the paper: > Şentürk, S., Holzapfel, A., and Serra, X. (2014). Linking scores and audio recordings in makam music of Turkey. Journal of New Music Research, 43:34–52. Please cite the publication above in any work using this dataset. For more information about the dataset, please refer to the paper. Remarks: - If an audio recording is related to multiple works (e.g. multiple compositions are performed in the recording), in the audio_metadata we only keep the work of the score. - The "title" fields in the audio_metadata might have unicode characters. - In the original symbTr format the sections are given in the "Soz1" (Lyrics1) field. This field is used for the lyrics of the vocal compositions and the sections of the instrumental compositions. We created another field called "Bolum1" (Section1) for the dedicated to sections. In the instrumental compositions, we copied the section names already given in the "Soz1" field and manually corrected any erroneous jumps. For the vocal compositions, we manually labeled the score sections from the repetitions in the the lyrics and the melody. In the future we plan to automate the extraction from the repetition of the symbolic lyrics and melody repetitions.

This release contains annotated tonic frequencies of 257 audio recordings. The SymbTr-scores of the corresponding compositions performed in the audio recordings are also indicated.

This release contains annotated tonic frequencies of 1093 audio recordings in total.

This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper.

The repository includes the test datasets used in various audio-score alignment experiments on Ottoman-Turkish makam music. This particular release contains the audio-score alignment test dataset used in the paper: Şentürk, S., Gulati, S., and Serra, X. (2014). Towards alignment of score and audio recordings of Ottoman-Turkish makam music. In Proceedings of 4th International Workshop on Folk Music Analysis, pages 57–60, Istanbul, Turkey.

This dataset corresponds to a study aimed at investigating the environmental impact of an innovative system proposed for residential buildings in Mediterranean climate through a life cycle assessment. The data refer to both the innovative system and a standard reference system, which was considered for comparison purposes. Data used for a parametric study of the innovative system are also included in this dataset.

The Mridangam Stroke dataset is a collection of 7162 audio examples of individual strokes of the Mridangam in various tonics. The dataset comprises of 10 different strokes played on Mridangams with 6 different tonic values. The dataset can be used for training models for each Mridangam stroke.