← Search

Frank Cwitkowitz

5 accepted papers

2024

SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription

ICASSP 2024accepted

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 instrument. Guitar Tablature Transcription (GTT) is an important task with broad applications in music education, compo…

Cited by 0SourceScholar
2024

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

ICASSP 2024accepted

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 datasets, progress is often limited to solo-instrument tasks such as piano transcription. Several works have explored multi-in…

Cited by 0SourceScholar
2023

Fretnet: Continuous-Valued Pitch Contour Streaming For Polyphonic Guitar Tablature Transcription

ICASSP 2023accepted

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 time, the related task of Multi-Pitch Estimation (MPE) remains a challenging but necessary component of almost all AMT…

Cited by 0SourceScholar
2022

A Study of The Robustness of Raw Waveform Based Speaker Embeddings Under Mismatched Conditions

ICASSP 2022accepted

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 observe a more significant performance degradation of these raw-waveform systems compared to spectral based systems. We then…

Cited by 0SourceScholar
2021

Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs

NeurIPS 2021poster

Piano transcription systems are typically optimized to estimate pitch activity at each frame of audio. They are often followed by carefully designed heuristics and post-processing algorithms to estimate note events from the frame-level predictions. Recent methods have also framed piano transcription…