Total matches
14
Detect emerging, bridge-candidate, and undercited papers inside a curated audio-ML corpus, then expose the signals behind every recommendation.
Search
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
14
Visible window
1-14
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.
Query surface
title + abstract.Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.
Workflow map
01
Start with lexical retrieval and narrow with year, venue, topic, and scope filters until the candidate set is focused enough to inspect.
02
Open the paper dossier to review abstract, metadata, ranking presence, and adjacent papers without losing the corpus framing.
03
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
Resolved filters: scope all_included
Identifying beat positions in music recordings, a central task in Music Information Retrieval (MIR), is commonly referred to as beat tracking. Typically, this involves computing an activation function to reveal frame-wise beat likelihood a...
The localization of beat instants is often based on some low-level rhythmic feature extracted from the audio signal (usually an onset detection function), as well as the tempo path that is estimated from it. Going from such descriptors to...
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...
Selective Annotation of Few Data for Beat Tracking of Latin American Music Using Rhythmic Features
lex 0.599Training 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...
Bambuco, one of the national rhythms of Colombia, is characterized by the presence of sesquialtera or the superposition of rhythmic elements from a simple and a compound meter. In this work, we analyze bambucos from three perspectives. Fir...
This paper presents a comprehensive study on real‑time music rhythm analysis, covering joint beat and downbeat tracking for diverse kinds of music signals. We introduce BeatNet+, a two‑stage approach to real‑time rhythm analysis built on a...
The increasing attention toward interactions at a distance and the improvement of digital communications networks have steadily increased the interest toward Networked Music Performance both regarding entertainment and education. Unfortuna...
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...
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....
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...
The piano concerto is a genre of central importance in Western classical music, often consisting of a virtuoso solo part for piano and an orchestral accompaniment. In this article, we introduce the Piano Concerto Dataset (PCD), which compr...
Influence of rhythm features on beat/movement synchronization using a low-cost vision system
lex 0.007This study examines how musical expertise, tempo, and beat division influence synchronization accuracy and regularity in two movement tasks: finger tapping (discrete movements) and arm swing (continuous movements). Using a markerless motio...
Computational musicology and music information retrieval research on Korean Pansori requires reliable analysis of vocal energy and tempo variation across rhythmic patterns known as jangdan. In this work, a jangdan is treated as a downbeat...
Tabla is a pounding instrument in Hindustani classical music tradition. Tabla learning and presentation in the Indian landmass is based on stylistic schools called Gharana. Each Gharana is attributed by its main style of playing skills, ac...