For speaker recognition, it is difficult to extract an accurate speaker representation from
speech because of its mixture of speaker traits and content. This paper proposes a …

We present a wav-to-wav generative model for the task of singing voice conversion from any
identity. Our method utilizes both an acoustic model, trained for the task of automatic speech …

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 …

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

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 benefit …

This paper describes an end-to-end adversarial singing voice conversion (EA-SVC)
approach. It can directly generate arbitrary singing waveform by given phonetic …

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 …

This paper proposes an expressive singing voice synthesis system by introducing explicit
vibrato modeling and latent energy representation. Vibrato is essential to the naturalness of …

We study a novel neural architecture and its training strategies of speaker encoder for
speaker recognition without using any identity labels. The speaker encoder is trained to …

Abstract Automatic Lyrics Transcription of polyphonic music (ALTP) aims to recognize the
sung lyrics from singing vocals in the presence of instrumental music accompaniment, and it …