Search Results for author: Hendrik Schreiber

Found 2 papers, 2 papers with code

Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark

1 code implementation23 Nov 2023 Ondřej Cífka, Constantinos Dimitriou, Cheng-i Wang, Hendrik Schreiber, Luke Miner, Fabian-Robert Stöter

Current automatic lyrics transcription (ALT) benchmarks focus exclusively on word content and ignore the finer nuances of written lyrics including formatting and punctuation, which leads to a potential misalignment with the creative products of musicians and songwriters as well as listeners' experiences.

Automatic Lyrics Transcription

Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters

1 code implementation26 Mar 2019 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 Networks (CNN).

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