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

61-75

Core papers shown

9

Rows with topics

9

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 | unknown venue

    includedmatched: abstract

    Understanding music styles is essential for music information retrieval, personalized recommendation, and AI-assisted content creation. However, existing work typically addresses tasks such as emotion classification and singing style class...

    • Understanding [[music]] styles is essential for [[music]] [[information]] [[retrieval]], personalized recommendation, and AI-assisted content creation
  • 2025 | cites: 1 | unknown venue

    includedmatched: abstract

    Abstract This research endeavor presents a rigorous interdisciplinary investigation into the emotional and narrative functions of " Let It Go " ( Frozen ) and " Show Yourself " ( Frozen II ), addressing a gap in scholarship that primarily...

    • Emotion Recognition), and auditory analysis (using [[Music]] [[Information]] [[Retrieval]] techniques). This synergetic approach affords a more
  • 2025 | cites: 0 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    This article details a correction to: Gómez-Marín, D., Ospina-Caicedo, R., Díaz-Cely, J., Paz, J., Jordà, S. and Herrera, P. (2024) 'Salsa, a Dataset for Beat Estimation in Salsa Music', Transactions of the International Society for Music...

    • Transactions of the International Society for [[Music]] [[Information]] [[Retrieval]], 7(1), p. 264-273. Available
    Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
  • 2025 | cites: 0 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Within music information retrieval (MIR) research, numerous beat‑tracking systems have been developed, targeting either audio recordings or symbolic representations such as MIDI files. However, the differences between these approaches, the...

    • Within [[music]] [[information]] [[retrieval]] (MIR) research, numerous beat‑tracking systems have been developed, targeting either audio
    Music and Audio ProcessingMusic Technology and Sound StudiesMusicology and Musical Analysis
  • 2025 | cites: 0 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    The Real World Computing (RWC) Music Database has been a widely used and valuable resource in music information retrieval (MIR) research for over two decades, offering high‑quality audio recordings and comprehensive annotations for a varie...

    • widely used and valuable resource in [[music]] [[information]] [[retrieval]] (MIR) research for over two decades, offering
    Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    Identifying instruments in polyphonic audio is challenging due to overlapping spectra and variations in timbre and playing styles. This task is central to music information retrieval, with applications in transcription, recommendation, and...

    • styles. This task is central to [[music]] [[information]] [[retrieval]], with applications in transcription, recommendation, and indexing
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    Music Question--Answering (MQA) is a machine learning task where a computational system analyzes and answers questions about music-related data. Traditional methods prioritize audio, overlooking visual and embodied aspects crucial to music...

    • domain expertise to advance MQA and [[Music]] [[Information]] [[Retrieval]]
  • 2025 | cites: 0 | unknown venue

    includedmatched: abstract

    This paper introduces ORD-CC32 , an open research dataset derived from the 1932 Cairo Congress of Arab Music recordings, a historically significant collection representing diverse Arab musical traditions. The dataset includes structured me...

    • enable interdisciplinary research in computational ethnomusicology, [[music]] [[information]] [[retrieval]] (MIR), cultural studies, and digital heritage preservation
  • 2024 | cites: 2 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Training state-of-the-art beat tracking models usually requires large amounts of annotated data. It is widely known that data annotation is a time-consuming process and generally involves expert knowledge in the context of MIR. This can be...

    • diverse perspective in the field of [[Music]] [[Information]] [[Retrieval]]
    Music and Audio ProcessingSpeech and Audio ProcessingMusic Technology and Sound Studies
  • 2024 | cites: 2 | Journal of the Audio Engineering Society

    corematched: abstract

    This study focuses on a corpus of 445 sonification projects currently available in the Data Sonification Archive (DSA). The DSA develops in a collaborative process that involves researchers and creative communities, and has been online sin...

    • strategies, respectively based on clustering of [[music]] [[information]] [[retrieval]] of sonification audio, and topic modelling
    BIM and Construction IntegrationDesign Education and PracticeTactile and Sensory Interactions
  • 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...

    • piano audio to facilitate downstream [[music]] [[information]] [[retrieval]] tasks. We explore descriptive statistics of the MIDI
    Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
  • 2023 | cites: 9 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    This paper introduces the Wagner Ring Dataset (WRD), a multi-modal and multi-version resource on the large-scale opera cycle Der Ring des Nibelungen by Richard Wagner. The Ring comprises four music dramas organized into eleven acts and 21...

    • resource for developing algorithms for various [[music]] [[information]] [[retrieval]] tasks, complementing existing datasets with a complex
    Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
  • 2023 | cites: 1 | unknown venue

    includedmatched: abstract

    Throughout history, a consistent temporal and spatial gap has persisted between the inception of novel knowledge and technology and their subsequent adoption for extensive practical utilization. The article explores the dynamic interaction...

    • papers from the International Society for [[Music]] [[Information]] [[Retrieval]] (ISMIR) from 2012 to 2021. Over
  • 2023 | cites: 0 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Music Structure Analysis (MSA) is a Music Information Retrieval task consisting of representing a song in a simplified, organized manner by breaking it down into sections typically corresponding to "chorus", "verse", "solo", etc. In this w...

    • [[Music]] Structure Analysis (MSA) is a [[Music]] [[Information]] [[Retrieval]] task consisting of representing a song
    Music and Audio ProcessingMusic Technology and Sound StudiesSpeech and Audio Processing
  • 2022 | cites: 11 | Transactions of the International Society for Music Information Retrieval

    corematched: abstract

    Given a music recording, music structure analysis aims at identifying important structural elements and segmenting the recording according to these elements. In jazz music, a performance is often structured by repeating harmonic schemata (...

    • soloists. Within the fields of [[music]] [[information]] [[retrieval]] (MIR) and computational musicology, the Weimar Jazz Database
    Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception
Showing 61-75 of 81