46 citations · 83 across the 4 of their papers we have counts for
4 papers
Lyrics Transcription for Humans: A Readability-Aware Benchmark
Ondřej Cífka, Hendrik Schreiber, Luke Miner +1
Writing down lyrics for human consumption involves not only accurately capturing word sequences, but also incorporating punctuation and formatting for clarity and to convey context…
Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark
Ondřej Cífka, Constantinos Dimitriou, Cheng-i Wang +3
Current automatic lyrics transcription (ALT) benchmarks focus exclusively on word content and ignore the finer nuances of written lyrics including formatting and punctuation, which…
The 2018 Signal Separation Evaluation Campaign
Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito
This paper reports the organization and results for the 2018 community-based Signal Separation Evaluation Campaign (SiSEC 2018). This year's edition was focused on audio and pursue…
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation
Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler +1
The task of estimating the maximum number of concurrent speakers from single channel mixtures is important for various audio-based applications, such as blind source separation, sp…