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We present a database of parallel recordings of speech and singing, collectedand released by the Human Language Technology (HLT) laboratory at the NationalUniversity of Singapore (NUS), that is called NUS-HLT Speak-Sing (NHSS)database. We release this database to the public to support researchactivities, that include, but not limited to comparative studies of acousticattributes of speech and singing signals, cooperative synthesis of speech andsinging voices, and speech-to-singing conversion. This database consists ofrecordings of sung vocals of English pop songs, the spoken counterpart oflyrics of the songs read by the singers in their natural reading manner, andmanually prepared utterance-level and word-level annotations. The audiorecordings in the NHSS database correspond to 100 songs sung and spoken by 10singers, resulting in a total of 7 hours of audio data. There are 5 male and 5female singers, singing and reading the lyrics of 10 songs each. In this paper,we discuss the design methodology of the database, analyse the similarities anddissimilarities in characteristics of speech and singing voices, and providesome strategies to address relationships between these characteristics forconverting one to another. We develop benchmark systems, which can be used asreference for speech-to-singing alignment, spectral mapping, and conversionusing the NHSS database.

NHSS: A Speech and Singing Parallel Database