13 citations · 13 across the 3 of their papers we have counts for
3 papers
eess.AS2024
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…
eess.AS2023
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…
cs.SD2019★ 13 cited
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters
Hendrik Schreiber, Meinard Müller
In this article we explore how the different semantics of spectrograms' time and frequency axes can be exploited for musical tempo and key estimation using Convolutional Neural Net…