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Search the curated corpus with lexical retrieval first.

Title + abstract lexical searchDeterministic ordering

Search v1 is intentionally narrow: lexical retrieval over titles and abstracts, plus practical filters for narrowing the current corpus. Semantic assist can come later, but it is not part of Search v1's scope.

Total matches

13

Visible window

1-13

Core papers shown

7

Rows with topics

6

Search v1 scope: dedicated lexical search, practical filters, and clean handoff into dossier and ranking views. When ranking family filtering is active, the API resolves and returns one explicit run context.

What Search v1 supports

  • Lexical retrieval over title + abstract.
  • Filters for year, scope, venue/source, topic label, and ranking family filter.
  • Stable ordering: lexical rank, then year, citations, and work id.
  • Run metadata appears only when the search depended on ranking state.

Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.

Workflow map

How search moves through Research Radar

01

Find the right candidate set

Start with lexical retrieval and narrow with year, venue, topic, and scope filters until the candidate set is focused enough to inspect.

02

Inspect the dossier

Open the paper dossier to review abstract, metadata, ranking presence, and adjacent papers without losing the corpus framing.

03

Move into signals

Use Recommended and Evaluation to understand why a result matters now and how it sits inside the exact resolved ranking run when family filtering is active.

Lexical results

Results for “piano transcription”

Order: lexical_rank desc, year desc, citation_count desc, work_id ascTotal matches: 13

Resolved filters: scope all_included

  • 2026 | cites: 0 | unknown venue

    includedmatched: title, abstract

    Automatic Music Transcription (AMT) plays a fundamental role in Music Information Retrieval (MIR) by converting raw audio signals into symbolic representations such as MIDI or musical scores. Despite advances in deep learning, accurately t...

    • [[Piano]] [[Transcription]] via Spectral
    • Automatic Music [[Transcription]] (AMT) plays a fundamental role in Music Information Retrieval (MIR) by converting...this work, we propose SpectTrans, a novel [[piano]] [[transcription]] framework that integrates a Spectral Gating Network
  • 2026 | cites: 0 | unknown venue

    includedmatched: title, abstract

    To improve the accuracy of automatic piano music transcription in complex environments, a recognition system applicable to practical scenarios such as music education assistance and intelligent performance analysis was developed.First, aud...

    • [[piano]] music [[transcription]]
    • improve the accuracy of automatic [[piano]] music [[transcription]] in complex environments, a recognition system applicable...accuracy.The proposed method achieves high-precision [[piano]] audio [[transcription]] with strong structural continuity
  • 2026 | cites: 0 | unknown venue

    includedmatched: title, abstract

    Automatic Music Transcription (AMT) for piano is difficult for audio-only systems due to dense polyphony, resonance, and reverberation, which lead to false positives and unstable onset decisions. We present a multimodal AMT framework that...

    • [[Transcription]] Using [[Piano]]
    • Automatic Music [[Transcription]] (AMT) for [[piano]] is difficult for audio-only systems due to dense polyphony
  • 2022 | cites: 49 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Symbolic music datasets are important for music information retrieval and musical analysis. However, there is a lack of large-scale symbolic datasets for classical piano music. In this article, we describe the creation of the GiantMIDI-Pia...

    • Interface (MIDI) files using a high-resolution [[piano]] [[transcription]] system. Each transcribed MIDI file contains...terms of solo [[piano]] detection F1 scores, metadata accuracy, and [[transcription]] error rates. We release
    Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
  • 2020 | cites: 12 | Transactions of the International Society for Music Information Retrieval

    corematched: title

    Automatic Music Transcription (AMT) is usually evaluated using low-level criteria, typically by counting the number of errors, with equal weighting. Yet, some errors (e.g. out-of-key notes) are more salient than others. In this study, we d...

    • [[Piano]] Music [[Transcription]]
    Music and Audio ProcessingMusic Technology and Sound StudiesSpeech and Audio Processing
  • 2023 | cites: 13 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Recent advances in automatic piano transcription have enabled large scale analysis of piano music in the symbolic domain. However, the research has largely focused on classical piano music. We present PiJAMA (Piano Jazz with Automatic MIDI...

    • Recent advances in automatic [[piano]] [[transcription]] have enabled large scale analysis of [[piano]] music
    Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
  • 2022 | cites: 0 | Journal of the Audio Engineering Society

    corematched: abstract

    Automatic music transcription with note level output is a current task in the field of music information retrieval. In contrast to the piano case with very good results using available large datasets, transcription of non-professional sing...

    • Automatic music [[transcription]] with note level output is a current task in the field of music...[[piano]] case with very good results using available large datasets, [[transcription]] of non-professional singing
    Music and Audio ProcessingDiverse Musicological StudiesMusic Technology and Sound Studies
  • 2024 | cites: 4 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Recent advances in automatic music transcription have facilitated the creation of large databases of symbolic transcriptions of improvised music forms including jazz, where traditional notated scores are not normally available. In conjunct...

    • creation of large databases of symbolic [[transcriptions]] of improvised music forms including jazz, where traditional notated...dataset of 44.5 h of jazz [[piano]] solos accompanied by bass and drums, with automatically generated
    Music and Audio ProcessingMusic Technology and Sound StudiesSpeech and Audio Processing
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    La transcription musicale est la procédure consistant à transformer une performance musicale en une partition. Transcrire manuellement un enregistrement audio en écriture musicale est cependant une tâche particulièrement chronophage et ard...

    • automatique de la parole, des techniques de [[transcription]] musicale automatique (TMA) ont été développées pour produire...ailleurs, pour certains instruments comme le [[piano]] ou la batterie, on peut enregistrer directement une performance
  • 2025 | cites: 1 | unknown venue

    includedmatched: abstract

    Automatic Music Transcription (AMT)-the task of converting music audio into note representations - has seen rapid progress, driven largely by deep learning systems. Due to the limited availability of richly annotated music datasets, much o...

    • Automatic Music [[Transcription]] (AMT)-the task of converting music audio into note representations - has seen rapid...been concentrated on classical [[piano]] music, and even a few very specific datasets. Whether these systems
  • 2026 | cites: 0 | tismir

    corematched: abstract

    Symbolic music datasets with matched scores and performances are essential for many music information retrieval (MIR) tasks. Yet, existing resources often cover a narrow range of composers, lack performance variety, omit note-level alignme...

    • that unifies and refines major open-source [[piano]] corpora. The dataset contains 250,046 performances...classifier for detecting corrupted and score-like [[transcriptions]] and (2) RAScoP, an alignment refinement pipeline that
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    A highly effective music synthesizer should deliver high-fidelity audio for a mix of instruments and voices. Current synthesizers often need to choose between specialized models that provide detailed control over specific instruments and f...

    • cultivated through training on diverse [[transcription]] datasets that correlate MIDI with audio, thereby deepening its comprehension...benchmarking it against six datasets: MAESTROv3 ([[piano]]), Slakh2100 (synthetic multi-instrument), Cerberus4 (synthetic multi-instrument), Guitarset
  • 2024 | cites: 5 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    This paper introduces the Beethoven Piano Sonata Dataset (BPSD), a multi-version dataset focusing on the first movements of Beethoven's 32 piano sonatas. Recognized as pivotal works in classical music, Beethoven's piano sonatas have profou...

    • pivotal works in classical music, Beethoven's [[piano]] sonatas have profoundly shaped Western classical music, holding...tasks like harmony analysis, structure analysis, music [[transcription]], beat and downbeat estimation, and score following
    Music and Audio ProcessingNeuroscience and Music PerceptionMusic Technology and Sound Studies