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Related papers: Sequential Pitch Distributions for Raga Detection

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Autoregressive (AR) image generation has recently emerged as a powerful paradigm for image synthesis. Leveraging the generation principle of large language models, they allow for efficiently generating deceptively real-looking images,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Simon Damm , Jonas Ricker , Henning Petzka , Asja Fischer

Scene Graph Generation (SGG) research has suffered from two fundamental challenges: the long-tailed predicate distribution and semantic ambiguity between predicates. These challenges lead to a bias towards head predicates in SGG models,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Kanghoon Yoon , Kibum Kim , Jaehyung Jeon , Yeonjun In , Donghyun Kim , Chanyoung Park

Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single music recording is used as representative of a "song" even though different performances of the same song may reveal different properties. A…

Information Retrieval · Computer Science 2019-07-02 Alexander Lerch , Claire Arthur , Ashis Pati , Siddharth Gururani

Synthetic aperture radar (SAR) tomography (TomoSAR) is an appealing tool for the extraction of height information of urban infrastructures. Due to the widespread applications of the MUSIC algorithm in source localization, it is a suitable…

Information Theory · Computer Science 2022-08-05 Ahmad Naghavi , Mohammad Sadegh Fazel , Mojtaba Beheshti , Ehsan Yazdian

Retrieval-Augmented Generation (RAG) enhances the factual accuracy of large language models (LLMs) by conditioning outputs on external knowledge sources. However, when retrieval involves private or sensitive data, RAG systems are…

Computation and Language · Computer Science 2025-08-06 Haoran Wang , Xiongxiao Xu , Baixiang Huang , Kai Shu

Symbolic music analysis tasks are often performed by models originally developed for Natural Language Processing, such as Transformers. Such models require the input data to be represented as sequences, which is achieved through a process…

Information Retrieval · Computer Science 2025-01-09 Dinh-Viet-Toan Le , Louis Bigo , Mikaela Keller

We study cross-modal recommendation of music tracks to be used as soundtracks for videos. This problem is known as the music supervision task. We build on a self-supervised system that learns a content association between music and video.…

Multimedia · Computer Science 2023-06-13 Laure Prétet , Gaël Richard , Clément Souchier , Geoffroy Peeters

We present an approach for the detection of sharp change points (short-lived and persistent) in nonlinear and nonstationary dynamic systems under high levels of noise by tracking the local phase and amplitude synchronization among the…

Data Analysis, Statistics and Probability · Physics 2020-08-04 Ashif Sikandar Iquebal , Satish Bukkapatnam , Arun Srinivasa

Schenkerian Analysis (SchA) is a uniquely expressive method of music analysis, combining elements of melody, harmony, counterpoint, and form to describe the hierarchical structure supporting a work of music. However, despite its powerful…

Sound · Computer Science 2024-08-15 Stephen Ni-Hahn , Weihan Xu , Jerry Yin , Rico Zhu , Simon Mak , Yue Jiang , Cynthia Rudin

Phase-amplitude coupling (PAC), a form of cross-frequency interaction, has been implicated in various cognitive functions and, by extension, in neural communication and information integration. Accurately detecting and characterising PAC is…

Neurons and Cognition · Quantitative Biology 2026-03-11 Rajintha Gunawardena , Fei He

The community detection problem involves making inferences about node labels in a graph, based on observing the graph edges. This paper studies the effect of additional, non-graphical side information on the phase transition of exact…

Information Theory · Computer Science 2019-01-30 Hussein Saad , Aria Nosratinia

We present UncertaintyRAG, a novel approach for long-context Retrieval-Augmented Generation (RAG) that utilizes Signal-to-Noise Ratio (SNR)-based span uncertainty to estimate similarity between text chunks. This span uncertainty enhances…

Computation and Language · Computer Science 2024-10-04 Zixuan Li , Jing Xiong , Fanghua Ye , Chuanyang Zheng , Xun Wu , Jianqiao Lu , Zhongwei Wan , Xiaodan Liang , Chengming Li , Zhenan Sun , Lingpeng Kong , Ngai Wong

In recent years, variance-reducing stochastic methods have shown great practical performance, exhibiting linear convergence rate when other stochastic methods offered a sub-linear rate. However, as datasets grow ever bigger and clusters…

Optimization and Control · Mathematics 2017-05-31 Clément Calauzènes , Nicolas Le Roux

Music tone quality evaluation is generally performed by experts. It could be subjective and short of consistency and fairness as well as time-consuming. In this paper we present a new method for identifying the clarinet reed quality by…

Sound · Computer Science 2020-03-03 Yixin Wang , Xiaohong Guan , Youtian Du , Nan Nan

Whereas chord transcription has received considerable attention during the past couple of decades, far less work has been devoted to transcribing and encoding the rhythmic patterns that occur in a song. The topic is especially relevant for…

Sound · Computer Science 2025-10-08 Aleksandr Lukoianov , Anssi Klapuri

Periodograms are used as a key significance assessment and visualisation tool to display the significant periodicities in unevenly sampled time series. We introduce a framework of periodograms, called "Agatha", to disentangle periodic…

Earth and Planetary Astrophysics · Physics 2017-08-02 Fabo Feng , Mikko Tuomi , Hugh R. A. Jones

Hindustani music is a performance-driven oral tradition that exhibits the rendition of rich melodic patterns. In this paper, we focus on generative modeling of singers' vocal melodies extracted from audio recordings, as the voice is…

Progress in automatic chord recognition has been slow since the advent of deep learning in the field. To understand why, I conduct experiments on existing methods and test hypotheses enabled by recent developments in generative models.…

Sound · Computer Science 2025-12-30 Pierre Mackenzie

State-of-the-art text spotting systems typically aim to detect isolated words or word-by-word text in images of natural scenes and ignore the semantic coherence within a region of text. However, when interpreted together, seemingly isolated…

Computer Vision and Pattern Recognition · Computer Science 2019-12-11 Yi Zheng , Qitong Wang , Margrit Betke

A MIDI based approach for music recognition is proposed and implemented in this paper. Our Clarinet music retrieval system is designed to search piano MIDI files with high recall and speed. We design a novel melody extraction algorithm that…

Information Retrieval · Computer Science 2023-01-02 Kshitij Alwadhi , Rohan Sharma , Siddhant Sharma