| { | |
| "paper_id": "O16-1006", | |
| "header": { | |
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| "date_generated": "2023-01-19T08:05:02.425284Z" | |
| }, | |
| "title": "Automatic Sung Lyrics Verification", | |
| "authors": [ | |
| { | |
| "first": "Shiang-Shiun", | |
| "middle": [], | |
| "last": "\u5b54\u7965\u52f3", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "National Taipei University of Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Kung", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "National Taipei University of Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Cin-Hao", | |
| "middle": [], | |
| "last": "\u99ac\u52e4\u7693", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
| "location": {} | |
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| "email": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Ma", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Fu", | |
| "middle": [], | |
| "last": "Shen", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Po-Yuan", | |
| "middle": [], | |
| "last": "\u856d\u535a\u5143", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
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| "email": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Hsiao", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Wei-Ho", | |
| "middle": [], | |
| "last": "\u8521\u5049\u548c", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Tsai", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Taipei University of Technology", | |
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| "email": "" | |
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| ], | |
| "year": "", | |
| "venue": null, | |
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| "abstract": "", | |
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| "paper_id": "O16-1006", | |
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| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "This study proposes a sung lyrics verification system for detecting if the lyrics sung by a performer are incorrect and further pointing out the potential mistake that the performer made.", | |
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| "eq_spans": [], | |
| "section": "Abstract", | |
| "sec_num": null | |
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| { | |
| "text": "In essence, sung lyrics verification is similar to the problem of speech utterance verification in the speech recognition research community, and therefore the techniques in the letter can be applied to the former. However, our preliminary experiment found that a speech utterance verification system cannot handle singing data well, mainly because of the significant differences between singing and speech. To tackle this problem, we develop two strategies, respectively, from a signal processing perspective and from a model processing perspective.", | |
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| "section": "Abstract", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "In the signal processing, recognizing that the vowels are often lengthened during singing, we propose vowel shrinking and vowel decimation to adjust the length of a vowel in singing to a normal length in speaking. In the model processing, we include a duration model concept in the acoustic modeling to reduce the differences between singing and speech. Our experiments show that the proposed methods can improve the performance of the sung lyrics verification to 72% and 90% accuracy using vowel shrinking, vowel decimation, and duration model approach, respectively, compared to 63% accuracy obtained with the baseline speech utterance verification system. ", | |
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| "section": "Abstract", | |
| "sec_num": null | |
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