Total matches
81
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.
Visible window
31-45
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.
Query surface
Search controls
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
- corematched: abstract
Music copyright infringement lawsuits implicate millions of dollars in damages and costs of litigation. There are, however, few objective measures by which to evaluate these claims. Recent music information retrieval research has proposed...
- which to evaluate these claims. Recent [[music]] [[information]] [[retrieval]] research has proposed objective algorithms to automatically...[[musical]] similarity, which might reduce subjectivity in [[music]] copyright infringement decisions, but there remains minimal relevant
Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies - includedmatched: abstract
Music genre classification represents a fundamental challenge within the field of Music Information Retrieval (MIR). The analysis of audio signals plays a pivotal role in the process of music genre classification, facilitating the extracti...
- fundamental challenge within the field of [[Music]] [[Information]] [[Retrieval]] (MIR). The analysis of audio signals plays...pivotal role in the process of [[music]] genre classification, facilitating the extraction of pertinent [[information]] from
- lex 0.308corematched: abstract
Pitch-class distributions are of central relevance in music information retrieval, computational musicology and various other fields, such as music perception and cognition. However, despite their structure being closely related to the cog...
- distributions are of central relevance in [[music]] [[information]] [[retrieval]], computational musicology and various other fields, such
Neuroscience and Music PerceptionMusic and Audio ProcessingMusic Technology and Sound Studies - corematched: abstract
Music information retrieval (MIR) is increasingly concerned with properly managing the complexity of musical data and the curation of high-quality multimodal datasets for use in a variety of computational tasks. This article presents (1) a...
- [[Music]] [[information]] [[retrieval]] (MIR) is increasingly concerned with properly managing the complexity of [[musical]] data...[[music]] (leading to), (ii) the 'actual' [[music]] (itself and around it), and (iii) 'after' the [[music]]
Music and Audio ProcessingDiverse Musicological StudiesNatural Language Processing Techniques - corematched: abstract
Music Recommender Systems (Music RS) are nowadays pivotal in shaping the listening experience of people all around the world. Partly driven by the commercial application of this technology, music recommendation research has gained increasi...
- attention both within and outside the [[Music]] [[Information]] [[Retrieval]] (MIR) community. Thanks also to the widespread...[[Music]] RS literature. Additionally, by taking as an example the wider context of [[Information]] Technology
Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception - includedmatched: abstract
This paper introduces the Hi-Audio online platform, an open-source tool designed to support musicians and researchers in the field of Music Information Retrieval (MIR). The platform enables the recording, uploading, and sharing of multitra...
- researchers in the field of [[Music]] [[Information]] [[Retrieval]] (MIR). The platform enables the recording, uploading
- corematched: abstract
In Music Information Retrieval (MIR), a general goal is to recognize times of novelty within music recordings. This includes estimating structural boundaries through the detection of changes in harmony, tempo, or instrumentation and identi...
- [[Music]] [[Information]] [[Retrieval]] (MIR), a general goal is to recognize times of novelty within [[music]] recordings
Music and Audio ProcessingSpeech and Audio ProcessingMusic Technology and Sound Studies - includedmatched: abstract
Contemporary Music Information Retrieval (MIR) and Natural Language Processing (NLP) systems are increasingly applied to diverse musical traditions, yet they are largely grounded in Western musical and linguistic assumptions. This study ex...
- Contemporary [[Music]] [[Information]] [[Retrieval]] (MIR) and Natural Language Processing (NLP) systems are increasingly applied to diverse
- includedmatched: 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...
- plays a fundamental role in [[Music]] [[Information]] [[Retrieval]] (MIR) by converting raw audio signals into symbolic
Attend to Chords: Improving Harmonic Analysis of Symbolic Music Using Transformer-Based Models
lex 0.300corematched: abstractAutomatic chord recognition (ACR) has long been a topic of interest in the field of Music Information Retrieval (MIR), due to not only its commercial applications, but also its support for advanced music analysis. While a lot of ACR-relate...
- interest in the field of [[Music]] [[Information]] [[Retrieval]] (MIR), due to not only its commercial applications...These issues hinder the developments of [[music]] analysis and [[music]] generation via ACR systems. With
Music and Audio ProcessingSpeech and Audio ProcessingMusic Technology and Sound Studies- corematched: abstract
Human perception of musical structure is supposed to depend on the generation of hierarchies, which is inherently related to the actual organisation of sounds in music. Musical structures are indeed best retained by listeners when they for...
- challenging problems in the field of [[music]] [[information]] [[retrieval]], since even human experts tend to disagree...structural decomposition of a piece of [[music]]. However, most of the current [[music]] segmentation algorithms
Music and Audio ProcessingMusic Technology and Sound StudiesAnimal Vocal Communication and Behavior - corematched: abstract
The Real World Computing (RWC) Music Database has been a cornerstone of Music Information Retrieval (MIR) research for over two decades, offering high‑quality recordings across multiple genres, including popular, classical, and jazz music....
- Database has been a cornerstone of [[Music]] [[Information]] [[Retrieval]] (MIR) research for over two decades, offering...multiple genres, including popular, classical, and jazz [[music]]. Beyond its extensive audio collection, the dataset
Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies - corematched: abstract
Musical themes are essential elements in Western classical music. In this paper, we present the Musical Theme Dataset (MTD), a multimodal dataset inspired by "A Dictionary of Musical Themes" by Barlow and Morgenstern from 1948. For a subse...
- between the original dictionary and [[music]] [[information]] [[retrieval]] (MIR) research. The dataset is of relevance...tasks in MIR, such as cross-modal [[music]] [[retrieval]], [[music]] alignment, optical [[music]] recognition, [[music]] transcription
Music and Audio ProcessingDiverse Musicological StudiesMusic Technology and Sound Studies - corematched: abstract
Concert band and wind music are deeply embedded in society and play a significant role in the cultural landscape of many countries, including Germany and Austria, particularly within the amateur music scene. However, this type of music, as...
- largely overlooked in the field of [[music]] [[information]] [[retrieval]] (MIR). In this paper, we address this...different chorales, each comprising four [[musical]] parts: soprano, alto, tenor, and bass. At its core, ChoraleBricks
Music and Audio ProcessingMusic Technology and Sound StudiesAnimal Vocal Communication and Behavior A multimodal graph-based music auto-tagging framework: integrating social and content intelligence
lex 0.293includedmatched: abstractAbstract With the rapid growth of music streaming platforms, effective music auto-tagging has become crucial for Music Information Retrieval (MIR) and recommendation. However, existing approaches face significant limitations: single-modali...
- auto-tagging has become crucial for [[Music]] [[Information]] [[Retrieval]] (MIR) and recommendation. However, existing approaches face...capture the rich semantic diversity of [[music]] tags, while current multimodal approaches overlook critical interactive relationships
Showing 31-45 of 81