Discovery of Repeated Melodic Phrases in Folk Singing Recordings

作者：Kroher Nadine^*; Pikrakis Aggelos; Diaz Banez Jose Miguel

来源：IEEE Transactions on Multimedia, 2018, 20(6): 1291-1304.

DOI：10.1109/TMM.2017.2771450

• Music information retrieval
• melodic pattern discovery
• melody segmentation

In music, repetition is a fundamental concept to establish structure and create temporal relationships. Previous approaches to detecting repetition in music recordings have mainly focused on discovering repeated patterns of variable length and instrumentation at arbitrary locations. In this paper, we present a novel method for the discovery of repeated sung phrases in folk music recordings and, in particular, in oral music traditions, where written scores are usually unavailable. At a first stage, a segmentation algorithm partitions automatically generated note-level transcriptions of the singing melody into sections that correspond to the structural unit of a phrase. A clustering algorithm is then used to form clusters of phrases, where each cluster contains instances of the same melodic content. The clustering algorithm operates on the basis of a distance measure between melodic sequences and, to this end, various melodic distance measures are investigated. A detailed evaluation procedure is used to assess the performance of the algorithm on three different European music traditions and the influence of transcription and segmentation errors is investigated. The proposed system is shown to outperform the state-of-the-art in audio-based approaches to repeated phrase discovery for this task.

• 出版日期2018-6