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Found 9 papers, 7 papers with code
Toward Fully Self-Supervised Multi-Pitch Estimation
Multi-pitch estimation is a decades-long research problem involving the detection of pitch activity associated with concurrent musical events within multi-instrument mixtures.
Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription
Several works have explored multi-instrument transcription as a means to bolster the performance of models on low-resource tasks, but these methods face the same data availability issues.
SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription
Guitar Tablature Transcription (GTT) is an important task with broad applications in music education, composition, and entertainment.
FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription
In this paper, we present a GTT formulation that estimates continuous-valued pitch contours, grouping them according to their string and fret of origin.
A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription Systems
This naturally enforces playability constraints for guitar, and yields tablature which is more consistent with the symbolic data used to estimate pairwise likelihoods.
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
When formulating piano transcription in this way, we eliminate the need to rely on disjoint frame-level estimates for different stages of a note event.
A study of the robustness of raw waveform based speaker embeddings under mismatched conditions
In this paper, we conduct a cross-dataset study on parametric and non-parametric raw-waveform based speaker embeddings through speaker verification experiments.
Learning Sparse Analytic Filters for Piano Transcription
In this work, several variations of a frontend filterbank learning module are investigated for piano transcription, a challenging low-level music information retrieval task.
BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
The online estimation of rhythmic information, such as beat positions, downbeat positions, and meter, is critical for many real-time music applications.
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