177 citations · 251 across the 20 of their papers we have counts for
5 papers · 1 filter
Facing the Music: Tackling Singing Voice Separation in Cinematic Audio Source Separation
Karn N. Watcharasupat, Chih-Wei Wu, Iroro Orife
Cinematic audio source separation (CASS), as a standalone problem of extracting individual stems from their mixture, is a fairly new subtask of audio source separation. A typical s…
Remastering Divide and Remaster: A Cinematic Audio Source Separation Dataset with Multilingual Support
Karn N. Watcharasupat, Chih-Wei Wu, Iroro Orife
Cinematic audio source separation (CASS), as a problem of extracting the dialogue, music, and effects stems from their mixture, is a relatively new subtask of audio source separati…
A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation
Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding +6
Cinematic audio source separation is a relatively new subtask of audio source separation, with the aim of extracting the dialogue, music, and effects stems from their mixture. In t…
BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
Josh Meyer, David Ifeoluwa Adelani, Edresson Casanova +16
BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa. The corpus contains up to 86 hours of aligned, studio quality 48kHz single sp…
AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence
Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu +4
We propose a dataset, AVASpeech-SMAD, to assist speech and music activity detection research. With frame-level music labels, the proposed dataset extends the existing AVASpeech dat…