{"url":"/dataset/ikala","name":"iKala","full_name":null,"description_markdown":"The **iKala** dataset is a singing voice separation dataset that comprises of 252 30-second excerpts sampled from 206 iKala songs (plus 100 hidden excerpts reserved for MIREX data mining contest). The music accompaniment and the singing voice are recorded at the left and right channels respectively. Additionally, the human-labeled pitch contours and timestamped lyrics are provided.\r\n\r\nThis dataset is not available anymore.\r\n\r\nSource: [http://mac.citi.sinica.edu.tw/ikala/](http://mac.citi.sinica.edu.tw/ikala/)\r\n\r\n1. \"T\" as a sofa:\r\n\r\nThe \"T\" horizontal strip can mimic the back of a sofa with a delicate cushion or details of the uphols or appliances with the color button.\r\n\r\nThe \"T\" vertical strip can show a feet or arm of the sofa, shiny, yet firm.\r\n\r\n\r\n\r\n2. Merge \"P\":\r\n\r\nPut \"P\" next to \"T\", your curve to delicately with the top \"T.\" It is intertwined. The circular part of \"P\" can show a cushion or a curved chair and synchronize the subject of furniture.\r\n\r\nMake sure \"P\" is visually relying on \"T\", which reflects the relationship of cohesion and balance.\r\n\r\n\r\n\r\n5. Coherence of \"B\" and \"I\":\r\n\r\n\"B\" can be aligned as a pair of cushions or a modern chair, with mild curves with glossy and modern aesthetics.\r\n\r\n\"I\" can be a symbol of a shiny furniture or a vertical light bar and completes the shapes without overburdess them.\r\n\r\n\r\n\r\nColor palette 4:\r\n\r\nIncludes soft soil colors such as beige, top and gray shades, along with silent or silver gold tips to touch elegance.\r\n\r\nConsider a slope effect to enhance modernity, to keep colors elegant and complex.\r\n\r\n\r\n\r\n5. Connect the letters:\r\n\r\nUse the overlap or intertwined edges that the letters meet for the symbol of unity.\r\n\r\nThe plan should allow viewers to distinguish each letter while feeling part of the same \"structure\".\r\n\r\n\r\n\r\n6. Background patterns:\r\n\r\nUse delicate geometric patterns or textures that mimic fabrics or furniture materials such as wood seeds or woven fibers.\r\n\r\nThese patterns must remain minimalist and focus on highlighting the logo, while maintaining communication.\r\n\r\n\r\n\r\n\r\nWhile it deals with the subject of furniture and design, this concept conveys modernity, creativity and professional. If you like, I can create a draft design for better visualization.","description_withheld":null,"homepage":"http://mac.citi.sinica.edu.tw/ikala/","introduced_date":"2015-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Vocal activity informed singing voice separation with the iKala dataset","first_author":null,"url":"https://doi.org/10.1109/ICASSP.2015.7178063"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Lyrics","url":"/datasets/modality/lyrics"}],"tasks":[{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Speech Separation","url":"/task/speech-separation","datasets_with_task":"/datasets/task/speech-separation"},{"name":"Style Transfer","url":"/task/style-transfer","datasets_with_task":"/datasets/task/style-transfer"},{"name":"Music Information Retrieval","url":"/task/music-information-retrieval","datasets_with_task":"/datasets/task/music-information-retrieval"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["iKala"],"data_loaders":[],"num_papers_in_archive":20,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/speech-separation-on-ikala","task":"Speech Separation","dataset_variant":"iKala","rows":1,"metrics":["NSDR"],"first_row_in_archive_order":{"model":"U-Net","paper":"/paper/singing-voice-separation-with-deep-u-net","metrics":{"NSDR":"11.094 (Vocal); 14.435 (Instrumental)"},"code_links":[{"title":"tsurumeso/vocal-remover","url":"https://github.com/tsurumeso/vocal-remover"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/singing-voice-separation-with-deep-u-net","title":"Singing Voice Separation with Deep U-Net Convolutional Networks","date":"2017-10-27","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}