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The goal of real-time lyrics alignment is to take live singing audio as inputand to pinpoint the exact position within given lyrics on the fly. The task canbenefit real-world applications such as the automatic subtitling of liveconcerts or operas. However, designing a real-time model poses a greatchallenge due to the constraints of only using past input and operating withina minimal latency. Furthermore, due to the lack of datasets for real-timemodels for lyrics alignment, previous studies have mostly evaluated withprivate in-house datasets, resulting in a lack of standard evaluation methods.This paper presents a real-time lyrics alignment system for classical vocalperformances with two contributions. First, we improve the lyrics alignmentalgorithm by finding an optimal combination of chromagram and phoneticposteriorgram (PPG) that capture melodic and phonetics features of the singingvoice, respectively. Second, we recast the Schubert Winterreise Dataset (SWD)which contains multiple performance renditions of the same pieces as anevaluation set for the real-time lyrics alignment.

A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance