Our specific objectives are aligned with three main pillars:
1. Create a new paradigm to make the musical and ethnomusicological analysis easier for the community. In this pillar, our specific goals are:
1.1 Propose a standardized methodology to collect folk music: We have already achieved this objective. ITMA and PTNera, with the help of the partnership, constructed a methodology to collect and classify traditional music. This is evidenced in Deliverable D2.1.
1.2 Propose a standard model that allows a uniform analysis of the repertoire collected: we also achieved this objective. We constructed and excel file to reflect the format, the fields and the encoding of the musical and extra-musical features. This is also evidenced in the Deliverable D2.1 and in our dataset, which is referenced in Deliverable D2.2.
1.3 Create a corpus as a case study to show the possibilities that the platform offers, and that reflect the idiosyncrasies of the cultures involved: This goal is also achieved. We constructed a dataset published in a GDrive folder, classified by country and format, and attached with an excel file where the musical and extra-musical features are encoded. The information and the link can be found in Deliverables D2.2 and D3.1.
2 Show knowledge discovery through the application of new technologies in the platform. Our specific goals in this pillar are:
2.1 To review in detail and design new algorithms related to Musical Information Retrieval (MIR) techniques adapted to the specific properties of folk music: This objective is partially achieved. The partnership has started to work with algorithms for classification and melodic features detection in scores, audio and video. The evidences are the publications showed in Part A, and public code that is published in GitHub and similar platforms and can be found in the Section XXXX.
2.2 To review in detail and design new algorithms related to Natural Language Processing (NLP) adapted to the languages involved, namely Spanish, Portuguese and English. This objective is partially achieved. The partnership has started to work with algorithms for classification and melodic features detection in scores, audio and video. The evidences are the publications showed in Part A, and public code that is published in GitHub and similar platforms and can be found in the Section XXXX.
2.3 To develop a visual grammar to show the dataset (scores, audio files) and analysis outcomes (patterns, lyrics information, etc): The partnership does not have started to work in this objective yet, as we need to have more results in Objectives 2.1 and 2.2 before planning the visualization process.
2.4 To technically design and create a collaborative section for any user that aims to discuss about the materials uploaded: USAL have started to prepare a form attached to our public webpage to submit materials and plan to create a section to add comments to the materials and send messages, as we showed in Deliverable 3.1.
3 Bring folk music to educative and public environments. This pillar is aligned with WP7, and USAL did not start to work on educative plans yet.