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20202026
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eess.AS2022

Self-Transriber: Few-shot Lyrics Transcription with Self-training

Xiaoxue Gao, Xianghu Yue, Haizhou Li

The current lyrics transcription approaches heavily rely on supervised learning with labeled data, but such data are scarce and manual labeling of singing is expensive. How to bene…

cs.CL2022

token2vec: A Joint Self-Supervised Pre-training Framework Using Unpaired Speech and Text

Xianghu Yue, Junyi Ao, Xiaoxue Gao +1

Self-supervised pre-training has been successful in both text and speech processing. Speech and text offer different but complementary information. The question is whether we are a…

eess.AS2022

PoLyScriber: Integrated Fine-tuning of Extractor and Lyrics Transcriber for Polyphonic Music

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li

Lyrics transcription of polyphonic music is challenging as the background music affects lyrics intelligibility. Typically, lyrics transcription can be performed by a two-step pipel…

eess.AS2022

Music-robust Automatic Lyrics Transcription of Polyphonic Music

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li

Lyrics transcription of polyphonic music is challenging because singing vocals are corrupted by the background music. To improve the robustness of lyrics transcription to the backg…

cs.SD2022

Genre-conditioned Acoustic Models for Automatic Lyrics Transcription of Polyphonic Music

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li

Lyrics transcription of polyphonic music is challenging not only because the singing vocals are corrupted by the background music, but also because the background music and the sin…