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Quantifying The Relevance Of Locally Extracted Information For Musical Instrument Recognition From Entire Pieces Of Music

Ferdinand Fuhrmann, Perfecto Herrera
2011 Zenodo  
ACKNOWLEDGEMENTS This work has been supported by the following projects: Classical Planet: TSI-070100-2009-407 (MITYC) and DRIMS: TIN2009-14247-C02-01 (MICINN).  ...  Moreover, this so-obtained data reduction can further be exploited by any other MIR related algorithm, e.g. music visualisation or summarisation.  ...  This property of music and the resulting redundancy is exploited by the described approaches to re- duce the amount of data to process.  ... 
doi:10.5281/zenodo.1416349 fatcat:5h4hi7t6ijelzcjc4pvapl5s7u

Subjective Evaluation of Music Compressed with the ACER Codec Compared to AAC, MP3, and Uncompressed PCM

Stuart Cunningham, Iain McGregor
2019 International Journal of Digital Multimedia Broadcasting  
Our previous research presented a novel codec named ACER (Audio Compression Exploiting Repetition), which achieves data reduction by exploiting irrelevancy and redundancy in musical structure whilst generally  ...  Audio data compression has revolutionised the way in which the music industry and musicians sell and distribute their products.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2019/8265301 fatcat:vvirqrrqnzhazghuweenj3b7lq

ACERemix

Stuart Cunningham, Jonathan Weinel, Darryl Griffiths
2014 Proceedings of the 9th Audio Mostly on A Conference on Interaction With Sound - AM '14  
ACER functions by repeating similar sections of audio where they occur in a file and discarding the repetitive data.  ...  In this paper we discuss the use of a recently developed audio compression approach: Audio Compression Exploiting Repetition (ACER) as a compositional tool for glitch composition and remixing.  ...  of data reduction [6] .  ... 
doi:10.1145/2636879.2636888 dblp:conf/audio/CunninghamWG14 fatcat:oc732mv6vnaa3lqz3qii3twp3y

Leveraging repetition for improved automatic lyric transcription in popular music

Matt McVicar, Daniel P W Ellis, Masataka Goto
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
However, one aspect of this problem which has yet to be exploited by researchers is that significant portions of the lyrics will be repeated throughout the song.  ...  Transcribing lyrics from musical audio is a challenging research problem which has not benefited from many advances made in the related field of automatic speech recognition, owing to the prevalent musical  ...  Crucially, it is the repetitive verse-chorus nature of popular music which allows us to exploit this; the same technique will not yield advances in the transcription of conversational speech.  ... 
doi:10.1109/icassp.2014.6854174 dblp:conf/icassp/McVicarEG14 fatcat:fq7jm34jl5fynolzisdcvxdxzq

Towards Automatic Music Structural Analysis Identifying Characteristic Within-Song Excerpts in Popular Music

Bee Suan Ong, Xavier Serra
2005 Zenodo  
of audio data available in digital collections.  ...  The main task of automatic music structural analysis is to discover the structure of music by analyzing audio signals in order to facilitate a better handling of the current explosively expanding amounts  ...  retrieval of current massive amount of digital audio data.  ... 
doi:10.5281/zenodo.3739314 fatcat:ptqosukiyvaxvdxr7sncrbtuhq

Efficient Melodic Query Based Audio Search For Hindustani Vocal Compositions

Kaustuv Kanti Ganguli, Abhinav Rastogi, Vedhas Pandit, Prithvi Kantan, Preeti Rao
2015 Zenodo  
The automatic detection of this repetitive by its mukhda provided either by an audio fragment or by phrase, or motif, from the audio signal would contribute user  ...  approaches to specific charac- cific pattern as defined by the query (another time-series teristics of the test data.  ... 
doi:10.5281/zenodo.1417202 fatcat:kc5sa2f3nrczzjic4qu62sqj6m

Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music [article]

Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
2020 arXiv   pre-print
In this paper, we propose an approach for instrument classification in polyphonic music from purely monophonic data, that involves performing data augmentation by mixing different audio segments.  ...  A variety of data augmentation techniques focusing on different sonic aspects, such as overlaying audio segments of the same genre, as well as pitch and tempo-based synchronization, are explored.  ...  We perform Learning Rate Reduction and Early Stopping by monitoring the validation loss with a patience of 5 and 7 epochs respectively. C.  ... 
arXiv:1911.12505v2 fatcat:l5ewzntnibcbdiiezeo3xifaii

Mining Melodic Patterns in Large Audio Collections of Indian Art Music

Sankalp Gulati, Joan Serra, Vignesh Ishwar, Xavier Serra
2014 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems  
We present a data-driven approach for the discovery of shorttime melodic patterns in large collections of Indian art music.  ...  The approach first discovers melodic patterns within an audio recording and subsequently searches for their repetitions in the entire music collection.  ...  Music Collection The data used in this article comprises 365 hours of music, containing 1,764 audio recordings covering diverse forms in Carnatic music.  ... 
doi:10.1109/sitis.2014.73 dblp:conf/sitis/GulatiSIS14 fatcat:sxuxbdsi7vbalhwvtujjkjatqu

An Overview of Lead and Accompaniment Separation in Music

Zafar Rafii, Antoine Liutkus, Fabian-Robert Stoter, Stylianos Ioannis Mimilakis, Derry FitzGerald, Bryan Pardo
2018 IEEE/ACM Transactions on Audio Speech and Language Processing  
Popular music is often composed of an accompaniment and a lead component, the latter typically consisting of vocals.  ...  For data-centered approaches, we discuss the particular difficulty of obtaining data for learning lead separation systems, and then review recent approaches, notably those based on deep learning.  ...  An alternate way to proceed is to exploit the musical structure of songs, to find repetitions that can be utilized to perform separation.  ... 
doi:10.1109/taslp.2018.2825440 fatcat:256vf4wogzfsrlzlsfxda44gri

An Overview of Lead and Accompaniment Separation in Music [article]

Zafar Rafii and Antoine Liutkus and Fabian-Robert Stöter and Stylianos Ioannis Mimilakis and Derry FitzGerald and Bryan Pardo
2018 arXiv   pre-print
Popular music is often composed of an accompaniment and a lead component, the latter typically consisting of vocals.  ...  For data-centered approaches, we discuss the particular difficulty of obtaining data for learning lead separation systems, and then review recent approaches, notably those based on deep learning.  ...  An alternate way to proceed is to exploit the musical structure of songs, to find repetitions that can be utilized to perform separation.  ... 
arXiv:1804.08300v1 fatcat:yd2lfvrr3zgotaixhhsnby223u

Feedback-based gameplay metrics

Raphaël Marczak, Jasper van Vught, Lennart E. Nacke, Gareth Schott
2012 Proceedings of The 8th Australasian Conference on Interactive Entertainment Playing the System - IE '12  
The solution exploits and examines the audio-video feedbacks presented to the player as part of their engagement with a game system.  ...  This paper describes a pragmatic solution to the need to study a range of games that were determined not by the researchers but the study's participants.  ...  Audio Detection Methods The exploitation of musical expression and the atmospheric soundscape that expresses space and meaning in games was tested as a means of segmenting gameplay sessions into the differing  ... 
doi:10.1145/2336727.2336733 dblp:conf/ie/MarczakVNS12 fatcat:fn3vdhfparfzpczyyuk3pwiizy

Enhancing Music Features by Knowledge Transfer from User-item Log Data [article]

Donmoon Lee, Jaejun Lee, Jeongsoo Park, Kyogu Lee
2019 arXiv   pre-print
In this paper, we propose a novel method that exploits music listening log data for general-purpose music feature extraction.  ...  Despite the wealth of information available in the log data of user-item interactions, it has been mostly used for collaborative filtering to find similar items or users and was not fully investigated  ...  by the Ministry of Science and ICT (NRF-2017M3C4A7078548).  ... 
arXiv:1903.02794v1 fatcat:lxl4xf2odzejjmjiin2sa2npwa

Audio thumbnailing of popular music using chroma-based representations

M.A. Bartsch, G.H. Wakefield
2005 IEEE transactions on multimedia  
We present a system for producing short, representative samples (or "audio thumbnails") of selections of popular music.  ...  We evaluate the system on a database of popular music and score its performance against a set of "ideal" thumbnail locations.  ...  ACKNOWLEDGMENT The authors would like to thank members of the MusEn Project, W. Birmingham, B. Pardo, C. Meek, and M. Mellody, for their comments and contributions to this work.  ... 
doi:10.1109/tmm.2004.840597 fatcat:5ueaekks5vf7zm3xptaoxyfxbu

Paralinguistic mechanisms of production in human "beatboxing": A real-time magnetic resonance imaging study

Michael Proctor, Erik Bresch, Dani Byrd, Krishna Nayak, Shrikanth Narayanan
2013 Journal of the Acoustical Society of America  
Audio and video data illustrating production and orchestration of beatboxing sound effects are provided in a companion annotated corpus.  ...  Many of the same mechanisms observed in human speech production were exploited for musical effect, including patterns of articulation that do not occur in the phonologies of the artist's native languages  ...  and duration can be exploited for musical effect.  ... 
doi:10.1121/1.4773865 pmid:23363120 pmcid:PMC3574116 fatcat:i5fsjnhjz5cxbfr5i7sesk44ny

Feature Selection and Composition using PyOracle

Greg Surges, Shlomo Dubnov
2013 Zenodo  
A system is described which uses the Audio Oracle algorithm for music analysis and machine improvisation.  ...  and automation, and an audio-based query mode which uses the input signal to influence the output of the generative system. the ideal AO model.  ...  A similar idea has been explored in the SoMax system, developed by Bonasse-Gahot, in which input MIDI data is used to query a corpus of symbolic musical material.  ... 
doi:10.5281/zenodo.4285548 fatcat:lgcg7vyh5bcxvms6xpnkaysr74
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