DocumentCode
661454
Title
The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech
Author
Zhiyan Duan ; Haotian Fang ; Bo Li ; Khe Chai Sim ; Ye Wang
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2013
fDate
Oct. 29 2013-Nov. 1 2013
Firstpage
1
Lastpage
9
Abstract
Despite a long-standing effort to characterize various aspects of the singing voice and their relations to speech, the lack of a suitable and publicly available dataset has precluded any systematic study on the quantitative difference between singing and speech at the phone level. We hereby present the NUS Sung and Spoken Lyrics Corpus (NUS-48E corpus) as the first step toward a large, phonetically annotated corpus for singing voice research. The corpus is a 169-min collection of audio recordings of the sung and spoken lyrics of 48 (20 unique) English songs by 12 subjects and a complete set of transcriptions and duration annotations at the phone level for all recordings of sung lyrics, comprising 25,474 phone instances. Using the NUS-48E corpus, we conducted a preliminary, quantitative study on the comparison between singing voice and speech. The study includes duration analyses of the sung and spoken lyrics, with a primary focus on the behavior of consonants, and experiments aiming to gauge how acoustic representations of spoken and sung phonemes differ, as well as how duration and pitch variations may affect the Mel Frequency Cepstral Coefficients (MFCC) features.
Keywords
audio signal processing; humanities; speech recognition; English songs; MFCC features; Mel frequency cepstral coefficients; NUS sung and spoken lyrics corpus; NUS-48E corpus; audio recordings; audio signal analysis; automatic speech recognition; consonant behavior; duration annotations; phone level; phonetic annotated corpus; pitch variations; singing voice; sung phonemes; transcription annotations; Databases; Educational institutions; Mel frequency cepstral coefficient; Rhythm; Speech; Speech recognition; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location
Kaohsiung
Type
conf
DOI
10.1109/APSIPA.2013.6694316
Filename
6694316
Link To Document