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Showing 1 to 20 of 34 for “"music information retrieval"”.
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Music information retrieval: conceptuel framework, annotation and user behaviour
Understanding music is a process both based on and influenced by the knowledge and experience of the listener. Although content-based music retrieval has been given increasing attention in recent years, much of the research still focuses on bottom-up retrieval techniques. In order to make a music …
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A multi-dimensional entropy model of jazz improvisation for music information retrieval.
… provides a case context for examining information in music; entropy provides a means for representing music for retrieval. Entropy measures are shown to distinguish between different improvisations on the same theme, thus demonstrating their potential for representing jazz information …
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MIRMaid : an interface for a content based Music Information Retrieval test-bed
MIRMaid is an acronym for Music Information Retrieval Modular aid and is an interface that allows different content based retrieval tasks to be compared against each other to find optimal combinations of retrieval parameters for specialised problem domains. The dissertation describes the process of …
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Comparative Analysis of an Armenian Hymn Through Digital Signal Processing and Music Information Retrieval
Armenian music has existed for centuries, dating back to several millennia BC. The music has undoubtedly evolved over time, whether passed down traditionally or through reimaginations of the original piece. Despite straying from the original versions, the music nonetheless keeps the spirit and …
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Analysis of Information Features in Natural Language Queries for Music Information Retrieval: Use Patterns and Accuracy
… combining multiple task results are recommended. Information about related multimedia works and applying attributive/referential readings of descriptions in IR may also help improve the current MIR systems.
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DISCOURSE ANALYSIS OF LYRIC AND LYRIC-BASED CLASSIFICATION OF MUSIC
… semantics and the structure of many pieces of music. However, while many existing lyric analysis systems consider each sentence of a given set of lyrics separately, lyrics are more naturally understood as multi-sentence units, where the relations between sentences is a key factor. Here we …
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SoMa (Sound Masses): A modular system for data-driven algorithmic composition with large sample libraries, focusing on the dynamic formation and control of spatialised sound groups
… βασισμένου στην Ανάκτηση Μουσικής Πληροφορίας (Music Information Retrieval) και σε διάφορους μηχανισμούς αναζήτησης για την πλοήγηση σε μεγάλες βιβλιοθήκες από samples. Διερευνά τον δυναμικό σχηματισμό και έλεγχο υποομάδων της μεγάλης βιβλιοθήκης για αλγοριθμική σύνθεση μουσικής. Προορίζεται …
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Problems, current methodologies, and an analytical case study in electro-acoustic music analysis: Lejaren Hiller's Vocalise from seven electronic studies for two-channel tape recorder (1963)
… is an investigation of electro-acoustic music analysis; it highlights the difficulties of analysis, explains some of the prevailing analysis methodologies, and demonstrates the use of a hybrid analysis methodology through an analytical case study. These difficulties and analysis …
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A mood-based music classification and exploration system
Mood classification of music is an emerging domain of music information retrieval. In the approach presented here features extracted from an audio file are used in combination with the affective value of song lyrics to map a song onto a psychologically based emotion space. The motivation behind …
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Embedded Real-time Deep Learning for a Smart Guitar: A Case Study on Expressive Guitar Technique Recognition
Smart musical instruments are an emerging class of digital musical instruments designed for music creation in an interconnected Internet of Musical Things scenario. These instruments aim to integrate embedded computation, real-time feature extraction, gesture acquisition, and networked …
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Exploring deep learning based methods for information retrieval in Indian classical music
A vital aspect of Indian Classical Music (ICM) is Raga, which serves as a melodic framework for compositions and improvisations alike. Raga Recognition is an important music information retrieval task in ICM as it can aid numerous downstream applications ranging from music recommendations to …
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Using dynamic time warping to improve the classical music production workflow
The current music production workflow, comprising recording, editing, mixing, and mastering music, requires a great deal of manual work for the sound engineer. This thesis aims to bring some recent advances in Music Information Retrieval (MIR) techniques to music production tools, with the goal of …
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Applying Natural Language Processing and Deep Learning Techniques for Raga Recognition in Indian Classical Music
In Indian Classical Music (ICM), the Raga is a musical piece's melodic framework. It encompasses the characteristics of a scale, a mode, and a tune, with none of them fully describing it, rendering the Raga a unique concept in ICM. The Raga provides musicians with a melodic fabric, within which all …
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Improving music mood classification using lyrics, audio and social tags
The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and access point to music information, but it has not been well studied in information science. There has yet to be developed a suitable set of mood categories that can reflect the reality of music …
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Music signal processing for automatic extraction of harmonic and rhythmic information
… of automatic extraction of harmonic and rhythmic information from music audio signals using statistical framework and advanced signal processing methods. Among different research directions, automatic extraction of chords and key has always been of a great interest to Music Information Retrieval …
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Automatic recognition of Persian musical modes in audio musical signals
… for computational identification of Persian musical modes. This involves constructing a database of audio musical files and developing computer algorithms to perform a musical analysis of the samples. Essential features, the spectral average, chroma, and pitch histograms, and the use of …
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Modelling metrical flux: an adaptive frequency neural network for expressive rhythmic perception and prediction
… and cognitive process by which humans listen to music and perceive a steady pulse. Computationally modelling beat induction is important for many Music Information Retrieval (MIR) methods and is in general an open problem, especially when processing expressive timing, e.g. tempo changes or …
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Neural Networks for Music Emotion Recognition and Social Tags Emotion Representation
Music Emotion Recognition (MER), an important branch of Music Information Retrieval (MIR) systems, has become a very active research area, driven by the need to detect emotion in music automatically. A great deal of research has contributed to this area. With the emergence of neural networks, MER …
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Optimal feature selection and machine learning for high-level audio classification : a random forests approach
Content related information, metadata, and semantics can be extracted from soundtracks of multimedia files. Speech recognition, music information retrieval and environmental sound detection techniques have been developed into a fairly mature technology enabling a final text mining process to obtain …
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Digital Pianoforte Tutor: A Computer based evaluator for Piano Playing
Evaluating a piano playing has been the domain of music experts most of the time. If one (i.e. pianist or piano player) needs to receive precise evaluation on his/ her piano playing (i.e. piano performance) of a music piece given in sheet music (i.e. manuscript having music notation for the music …
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