Search

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

81

Visible window

1-15

Core papers shown

10

Rows with topics

10

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 “music information retrieval”

Order: lexical_rank desc, year desc, citation_count desc, work_id ascTotal matches: 81

Resolved filters: scope all_included

  • 2025 | cites: 1 | Transactions of the International Society for Music Information Retrieval

    corematched: title, abstract

    Over the past two decades, the music information retrieval (MIR) community has grown significantly in both the volume and diversity of research contributions. However, questions remain about who is represented within the community-and who...

    • [[Music]] [[Information]] [[Retrieval]]
    • Over the past two decades, the [[music]] [[information]] [[retrieval]] (MIR) community has grown significantly in both...findings indicate that International Society for [[Music]] [[Information]] [[Retrieval]] research remains Western-centric, with disproportionate representation
    Music and Audio ProcessingDiverse Musicological StudiesInformation Retrieval and Search Behavior
  • 2026 | cites: 0 | Transactions of the International Society for Music Information Retrieval

    corematched: title, abstract

    Musical instrument classification is a key task in music information retrieval, supporting applications such as automatic transcription and music recommendation. Research on this topic for traditional Persian music has been limited, largel...

    • [[Music]] [[Information]] [[Retrieval]]
    • classification is a key task in [[music]] [[information]] [[retrieval]], supporting applications such as automatic transcription
    Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Music Education Insights
  • 2020 | cites: 8 | Transactions of the International Society for Music Information Retrieval

    corematched: title, abstract

    This paper is about the story of my relationship, as a contemporary music composer, with computational tools that are situated in the areas of signal processing, machine learning and music information retrieval (MIR). I believe that sharin...

    • [[Music]] [[Information]] [[Retrieval]]
    • signal processing, machine learning and [[music]] [[information]] [[retrieval]] (MIR). I believe that sharing this story...these techniques in the context of contemporary [[music]] creation. Since this is a personal story
    Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
  • 2025 | cites: 6 | Transactions of the International Society for Music Information Retrieval

    corematched: title, abstract

    Data are crucial in various computer‑related fields, including music information retrieval (MIR), an interdisciplinary area bridging computer science and music. This paper introduces CCMusic, an open and diverse database comprising multipl...

    • [[Music]] [[Information]] [[Retrieval]]
    • various computer‑related fields, including [[music]] [[information]] [[retrieval]] (MIR), an interdisciplinary area bridging computer science
    Music and Audio ProcessingDiverse Musicological StudiesMusic Technology and Sound Studies
  • 2018 | cites: 85 | Transactions of the International Society for Music Information Retrieval

    corematched: title, abstract

    This article examines ethical dimensions of Music Information Retrieval (MIR) technology. It uses practical ethics (especially computer ethics and engineering ethics) and socio-technical approaches to provide a theoretical basis that can i...

    • [[Music]] [[Information]] [[Retrieval]]
    • This article examines ethical dimensions of [[Music]] [[Information]] [[Retrieval]] (MIR) technology. It uses practical ethics (especially...provide a theoretical basis that can [[inform]] discussions of ethics in MIR. To help ground
    Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
  • 2025 | cites: 0 | unknown venue

    includedmatched: title, abstract

    Contrastive learning and equivariant learning are effective methods for self-supervised learning (SSL) for audio content analysis. Yet, their application to music information retrieval (MIR) faces a dilemma: the former is more effective on...

    • [[Music]] [[Information]] [[Retrieval]]
    • content analysis. Yet, their application to [[music]] [[information]] [[retrieval]] (MIR) faces a dilemma: the former
  • 2021 | cites: 18 | Transactions of the International Society for Music Information Retrieval

    corematched: title, abstract

    Small adversarial perturbations of input data can drastically change the performance of machine learning systems, thereby challenging their validity. We compare several adversarial attacks targeting an instrument classifier, where for the...

    • [[Music]] [[Information]] [[Retrieval]]
    • where for the first time in [[Music]] [[Information]] [[Retrieval]] (MIR) the perturbations are computed directly...through an attack on a real-world [[music]] recommender system
    Adversarial Robustness in Machine LearningAnomaly Detection Techniques and ApplicationsMusic and Audio Processing
  • 2022 | cites: 1 | Transactions of the International Society for Music Information Retrieval

    corematched: title

    In this article we provide a case study in the datafication of historical handwritten manuscripts, which diversifies the repertoire, approaches, demographics, and institutional partnerships of MIR. The Kiselgof-Makonovetsky Digital Manuscr...

    • [[Music]] [[Information]] [[Retrieval]]
    Diverse Musicological StudiesMusic and Audio ProcessingFolklore, Mythology, and Literature Studies
  • 2026 | cites: 0 | unknown venue

    includedmatched: abstract

    Music popularity prediction is a fundamental problem in music information retrieval, with important implications for digital content dissemination and creative decision-making on streaming platforms. In this study, music popularity predict...

    • prediction is a fundamental problem in [[music]] [[information]] [[retrieval]], with important implications for digital content dissemination...structure, offering both theoretical insights for [[music]] [[information]] [[retrieval]] research and suggestive empirical patterns that
  • 2024 | cites: 1 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    This editorial introduces the new education track for the Transactions of the International Society for Music Information Retrieval (TISMIR) and aims to provide guidance to both prospective authors and users of this track's material regard...

    • Transactions of the International Society for [[Music]] [[Information]] [[Retrieval]] (TISMIR) and aims to provide guidance...into developments in the field of [[Music]] [[Information]] [[Retrieval]] (MIR), the personal pedagogical experiences
    Educational Assessment and PedagogyEducational Tools and MethodsNatural Language Processing Techniques
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    The regional classification of Turkish folk music remains a relatively unexplored domain in music information retrieval, particularly when leveraging raw audio signals for deep learning. This study addresses this gap by investigating how m...

    • remains a relatively unexplored domain in [[music]] [[information]] [[retrieval]], particularly when leveraging raw audio signals...future applications in computational ethnomusicology and [[music]] [[information]] [[retrieval]]
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    Citizen science engages volunteers to contribute data to scientific projects, often through visual annotation tasks. Hearing based activities are rare and less well understood. Having high quality annotations of performed music structures...

    • recorded [[music]] with applications ranging from [[music]] [[information]] [[retrieval]] to [[music]] therapy. [[Music]] annotations typically begin
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    In music, feature separation is the process of separating distinguishable auditory characteristics, such as pitch, timbre, rhythm, and harmonic content, from a complicated, mixed signal. Virtual reality (VR), gaming, music transcription, k...

    • [[music]] transcription, karaoke systems, audio restoration, [[music]] [[information]] [[retrieval]] (MIR), [[music]] education, and audio forensics
  • 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...

    • Symbolic [[music]] datasets are important for [[music]] [[information]] [[retrieval]] and [[musical]] analysis. However, there
    Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
  • 2020 | cites: 25 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Assisting the user in finding music is one of the original motivations that led to the establishment of Music Information Retrieval (MIR) as a research field. This encompasses classic Information Retrieval inspired access to music reposito...

    • that led to the establishment of [[Music]] [[Information]] [[Retrieval]] (MIR) as a research field. This encompasses...classic [[Information]] [[Retrieval]] inspired access to [[music]] repositories that aims at meeting an [[information]] need
    Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
Showing 1-15 of 81