activity
20212025
most citedFretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription

13 citations · 28 across the 9 of their papers we have counts for

collaborators

10 papers

eess.AS2025

Investigating an Overfitting and Degeneration Phenomenon in Self-Supervised Multi-Pitch Estimation

Frank Cwitkowitz, Zhiyao Duan

Multi-Pitch Estimation (MPE) continues to be a sought after capability of Music Information Retrieval (MIR) systems, and is critical for many applications and downstream tasks invo…

eess.AS2025

HARP 2.0: Expanding Hosted, Asynchronous, Remote Processing for Deep Learning in the DAW

Christodoulos Benetatos, Frank Cwitkowitz, Nathan Pruyne +4

HARP 2.0 brings deep learning models to digital audio workstation (DAW) software through hosted, asynchronous, remote processing, allowing users to route audio from a plug-in inter…

eess.AS2024

Toward Fully Self-Supervised Multi-Pitch Estimation

Frank Cwitkowitz, Zhiyao Duan

Multi-pitch estimation is a decades-long research problem involving the detection of pitch activity associated with concurrent musical events within multi-instrument mixtures. Supe…

eess.AS2023

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription

Frank Cwitkowitz, Kin Wai Cheuk, Woosung Choi +4

In recent years, research on music transcription has focused mainly on architecture design and instrument-specific data acquisition. With the lack of availability of diverse datase…

cs.SD2023★ 8 cited

SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription

Yongyi Zang, Yi Zhong, Frank Cwitkowitz +1

Guitar tablature is a form of music notation widely used among guitarists. It captures not only the musical content of a piece, but also its implementation and ornamentation on the…

eess.AS2022★ 13 cited

FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription

Frank Cwitkowitz, Toni Hirvonen, Anssi Klapuri

In recent years, the task of Automatic Music Transcription (AMT), whereby various attributes of music notes are estimated from audio, has received increasing attention. At the same…

eess.AS2022★ 2 cited

A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription Systems

Frank Cwitkowitz, Jonathan Driedger, Zhiyao Duan

Guitar tablature transcription is an important but understudied problem within the field of music information retrieval. Traditional signal processing approaches offer only limited…

eess.AS2021

A study of the robustness of raw waveform based speaker embeddings under mismatched conditions

Ge Zhu, Frank Cwitkowitz, Zhiyao Duan

In this paper, we conduct a cross-dataset study on parametric and non-parametric raw-waveform based speaker embeddings through speaker verification experiments. In general, we obse…

eess.AS2021★ 4 cited

BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking

Mojtaba Heydari, Frank Cwitkowitz, Zhiyao Duan

The online estimation of rhythmic information, such as beat positions, downbeat positions, and meter, is critical for many real-time music applications. Musical rhythm comprises co…

eess.AS2021★ 1 cited

Learning Sparse Analytic Filters for Piano Transcription

Frank Cwitkowitz, Mojtaba Heydari, Zhiyao Duan

In recent years, filterbank learning has become an increasingly popular strategy for various audio-related machine learning tasks. This is partly due to its ability to discover tas…