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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
- includedmatched: abstract
Abstract The integration of real-time music information retrieval techniques into musical instruments is a crucial step towards smart musical instruments that can reason about the musical context. This paper presents a real-time guitar pla...
- Abstract The integration of real-time [[music]] [[information]] [[retrieval]] techniques into [[musical]] instruments is a crucial...[[musical]] instruments that can reason about the [[musical]] context. This paper presents a real-time guitar
- includedmatched: abstract
Music exists in various modalities, such as score images, symbolic scores, MIDI, and audio. Translations between such modalities are established as core tasks of music information retrieval, such as automatic music transcription (audio-to-...
- established as core tasks of [[music]] [[information]] [[retrieval]], such as automatic [[music]] transcription (audio-to-MIDI
- corematched: abstract
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...
- relevant for a variety of [[Music]] [[Information]] [[Retrieval]] (MIR) tasks, including [[music]] source separation, automatic accompaniment
Music and Audio ProcessingSpeech and Audio ProcessingMusic Technology and Sound Studies - includedmatched: abstract
Content-based Music Retrieval (CBMR) is a fundamental task in music information retrieval, encompassing sub-tasks including Audio Identification, Audio Matching, and Version Identification. Traditional methods typically analyze audio signa...
- CBMR) is a fundamental task in [[music]] [[information]] [[retrieval]], encompassing sub-tasks including Audio Identification, Audio...timbre. However, with the rapid development of [[Music]] Transcription and digital [[music]] technologies, MIDI representation
- corematched: abstract
Functional sounds-typically brief, nonverbal audio cues used in the interfaces of electronic devices-play a critical role in human-machine interaction but remain largely unexplored within music information retrieval (MIR). This study propo...
- interaction but remain largely unexplored within [[music]] [[information]] [[retrieval]] (MIR). This study proposes a data-driven
Music and Audio ProcessingEmotion and Mood RecognitionMusic Technology and Sound Studies - corematched: abstract
The Musical Instrument Digital Interface (MIDI), introduced in 1983, revolutionized music production by allowing computers and instruments to communicate efficiently. MIDI files encode musical instructions compactly, facilitating convenien...
- facilitating convenient [[music]] sharing. They benefit [[music]] [[information]] [[retrieval]] (MIR), aiding in research on [[music]] understanding
Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception - includedmatched: abstract
Dataset augmentation techniques have been widely used to achieve state-of-the-art results in Music Information Retrieval tasks. However, their application in music emotion recognition (MER) remains underexplored. MER methods are particular...
- state-of-the-art results in [[Music]] [[Information]] [[Retrieval]] tasks. However, their application in [[music]] emotion
- corematched: abstract
Music is often considered a universal language, yet different cultures have created diverse music traditions. There is a growing awareness within the music information retrieval (MIR) community that both the music as a signal, and the user...
- growing awareness within the [[music]] [[information]] [[retrieval]] (MIR) community that both the [[music]] as a signal
Anthropology: Ethics, History, Culture - includedmatched: abstract
Music performance analysis can thrive from computational methods of music information retrieval. Besides extracting and analyzing symbolic music data, performance analysis also focuses on retrieving performance parameters from digital audi...
- thrive from computational methods of [[music]] [[information]] [[retrieval]]. Besides extracting and analyzing symbolic [[music]] data, performance
Symbolic music structure analysis with graph representations and changepoint detection methods
lex 0.314includedmatched: abstractMusic Structure Analysis (MSA), particularly symbolic music boundary detection, is crucial for understanding and creating music, yet segmenting music structure at various hierarchical levels remains an open challenge. In this work, we prop...
- anticipate these methods will benefit various [[Music]] [[Information]] [[Retrieval]] (MIR) tasks, including structure-aware [[music]] generation
Improving Audio Chord Estimation by Alignment and Integration of Crowd-Sourced Symbolic Music
lex 0.314corematched: abstractAutomatic Chord Estimation (ACE) is a fundamental task in Music Information Retrieval (MIR) and has applications in both music performance and MIR research. The task consists of segmenting a music recording or score and assigning a chord l...
- fundamental task in [[Music]] [[Information]] [[Retrieval]] (MIR) and has applications in both [[music]] performance
Music and Audio ProcessingMusic Technology and Sound StudiesSpeech and Audio Processing- includedmatched: abstract
Music Emotion Recognition (MER) is an important research area within Music Information Retrieval that focuses on automatically identifying emotional characteristics conveyed by music. Although deep learning approaches have shown promising...
- important research area within [[Music]] [[Information]] [[Retrieval]] that focuses on automatically identifying emotional characteristics conveyed...studies rely heavily on vocal or lyrical [[information]] and are largely based on Western [[music]] datasets
- corematched: abstract
The Music Genome Project® is an extensive music annotation effort spanning two decades, during which a team of musicologists has been annotating a dataset of millions of songs with hundreds of musicological attributes. A derivative of this...
- myriad of possibilities for musicology and [[music]] [[information]] [[retrieval]], such as auto‑tagging, chart prediction
Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception - includedmatched: abstract
In Music Information Retrieval (MIR), modeling and transforming the tone of musical instruments, particularly electric guitars, has gained increasing attention due to the richness of the instrument tone and the flexibility of expression. T...
- [[Music]] [[Information]] [[Retrieval]] (MIR), modeling and transforming the tone of [[musical]] instruments, particularly electric guitars
- lex 0.309includedmatched: abstract
Music is characterized by aspects related to different modalities, such as the audio signal, the lyrics, or the music video clips. This has motivated the development of multimodal datasets and methods for Music Information Retrieval (MIR)...
- multimodal datasets and methods for [[Music]] [[Information]] [[Retrieval]] (MIR) tasks such as genre classification or autotagging...genres at the level of artists or [[music]] albums. However, most datasets for multimodal MIR neglect
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