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Toward Automatic Music Audio Summary Generation From Signal Analysis

Geoffroy Peeters, Amaury La Burthe, Xavier Rodet
2002 Zenodo  
State of the art Few studies exist concerning the Automatic Music Audio Summary Generation from signal analysis. The existing ones can be divided into two types of approache.  ...  However, while the storage of audio summaries has been normalized, few techniques exist allowing their automatic generation.  ... 
doi:10.5281/zenodo.1417884 fatcat:gvav74s37rd65k5lfvsqnu2jxq

Deriving Musical Structures from Signal Analysis for Music Audio Summary Generation: "Sequence" and "State" Approach [chapter]

Geoffroy Peeters
2004 Lecture Notes in Computer Science  
In this paper, we investigate the derivation of musical structures directly from signal analysis with the aim of generating visual and audio summaries.  ...  Two approaches are then studied in order to derive automatically the structure of a piece of music. The sequence approach considers the audio signal as a repetition of sequences of events.  ...  Audio Summary or Audio Thumbnailing Music summary generation is a recent topic of interest.  ... 
doi:10.1007/978-3-540-39900-1_14 fatcat:it5z4wluhvelbmgbpxf737rj6y

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

Bee Suan Ong, Xavier Serra
2005 Zenodo  
Automatic audio content analysis is a general research area in which algorithms are developed to allow computer systems to understand the content of digital audio signals for further exploitations.  ...  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  ...  generation of audio summaries.  ... 
doi:10.5281/zenodo.3739314 fatcat:ptqosukiyvaxvdxr7sncrbtuhq

Integrating an Automatic Tonal Expert Agent into a Real-time Music Environment

Jakab Pilaszanovich, Sergi Jordà, Agustín Martorell
2013 Zenodo  
The idea of connecting the realm of symbolic music making and the direct use of audio is a relevant problem in today's music production technologies.  ...  In addition, it was concluded that people with less musical knowledge found the automatic tools more useful than people with more musical background.  ...  The primary focus of MIR is on extracting musical information directly from audio signals, which can be used as the first step towards the ability of the integration of the proposed musical agents.  ... 
doi:10.5281/zenodo.3754240 fatcat:fqmzz4rp3jenjl464ckrjzbaza

A Real-Time Signal Processing Framework Of Musical Expressive Feature Extraction Using Matlab

Ren Gang, Gregory Bocko, Justin Lundberg, Stephen Roessner, Dave Headlam, Mark F. Bocko
2011 Zenodo  
SUMMARY Our proposed real-time signal processing framework of musical expressive feature extraction obtains musical features from an incoming audio stream and provides important music data for various  ...  signal processing [2] and semantic musical data analysis [3, 4] applications.  ... 
doi:10.5281/zenodo.1418080 fatcat:shx5i526jfel5kr52g6jvsq4cy

Music analysis and retrieval systems for audio signals

George Tzanetakis, Perry Cook
2004 Journal of the American Society for Information Science and Technology  
Automatic music analysis and retrieval of non-speech digital audio is a relatively new field, and the existing techniques are far from perfect.  ...  To improve the performance of the developed techniques, two main techniques are used: (1) integration of information from multiple analysis and retrieval algorithms and (2) the use of graphical user interfaces  ...  Summary A series of systems for music analysis and retrieval of audio signals were presented. These systems work directly on raw audio files without attempting to perform polyphonic transcription.  ... 
doi:10.1002/asi.20060 fatcat:5gs4pwymmreknevwiixa5ag5we

A melody detection user interface for polyphonic music

Sachin Pant, Vishweshwara Rao, Preeti Rao
2010 2010 National Conference On Communications (NCC)  
The automatic extraction of the melody of the music from polyphonic recordings is a challenging problem for which no general solutions currently exist.  ...  This paper describes the interface and discusses the features in which it differs from more conventional audio analyses interfaces.  ...  SUMMARY In this paper we have presented a graphical user interface for semi-automatic melody extraction based on a recently proposed algorithm for voice-pitch extraction from polyphonic music.  ... 
doi:10.1109/ncc.2010.5430181 fatcat:2kpiveh5arg5tonltlyzct3rka

AREEB: Automatic REfrain extraction for ThumBnail

Alessio Mellina, Alexandro Sentinelli, Gustavo Marfia, Marco Roccetti
2012 2012 IEEE Consumer Communications and Networking Conference (CCNC)  
This paper investigates a given branch of the music information retrieval field, specifically that of audio thumbnail, through which a piece of music can be automatically summarized.  ...  We first provide a survey on the different techniques available today for the generation of music summaries, and then we propose a practical method that, based on best practices, is able to summarize songs  ...  We choose the chromagram over cepstral coefficient for one main reason: cepstrum is a generic analysis that aims at deconvoluting the main signal from its echoes, or reverbs.  ... 
doi:10.1109/ccnc.2012.6181003 dblp:conf/ccnc/MellinaSMR12 fatcat:c4ipesjplnew5jacsp2fggrcq4

ZemPod: A semantic web approach to podcasting

Òscar Celma, Yves Raimond
2008 Journal of Web Semantics  
Our proposal to cope with these problems uses traditional audio signal processing -such as speech versus music segmentation, and audio identification-, and Semantic Web techniques to automatically describe  ...  The second problem is that a podcast session consists of a single audio file. Thus, it is very difficult to seek into one of the music tracks that compose a podcast.  ...  Acknowledgements The authors acknowledge the support of the Music Technology Group from Universitat Pompeu Fabra, and both the Centre For Digital Music and the Department of Computer Science at Queen Mary  ... 
doi:10.1016/j.websem.2008.01.003 fatcat:4ci7im6kd5cplnny5kzjmdbtem

Automatic Music Transcription: From Monophonic to Polyphonic [chapter]

Fabrizio Argenti, Paolo Nesi, Gianni Pantaleo
2011 Springer Tracts in Advanced Robotics  
Music understanding from audio track and performance is a key problem and a challenge for many applications ranging from: automated music transcoding, music education, interactive performance, etc.  ...  Several different approaches are based on techniques such as: pitch trajectory analysis, harmonic clustering, bispectral analysis, event tracking, nonnegative matrix factorization, hidden Markov model.  ...  General architecture of an automatic music transcription system.  ... 
doi:10.1007/978-3-642-22291-7_3 fatcat:zbgfzqhh2rfdvj6jzuo27xjr3u

Approaches in Intelligent Music Production

David Moffat, Mark B. Sandler
2019 Arts  
Music production technology has made few advancements over the past few decades.  ...  Intelligent music production (IMP) is the approach of introducing some level of artificial intelligence into the space of music production, which has the ability to change the field considerably.  ...  The audio analysis part performs some feature analysis of an audio signal and typically represents the signal with some audio features (Verfaille et al. 2011) .  ... 
doi:10.3390/arts8040125 fatcat:wobjsiff4jez5oekphjogmpmju

Drums and Bass Interlocking: A Bassline Generation System Based on Sequence-to-Sequence Learning

Behzad Haki, Sergi Jorda
2019 Zenodo  
Each dataset contains a variety of 2-bar drum loops with annotated basslines from two different styles of dance music: House and Soca.  ...  The drum representation consists of fixed size sequences of onsets detected from a 2-bar audio drum loop in eight different frequency bands.  ...  A custom software was developed to collect relevant releases from Discogs' repository and to download the corresponding audio from YouTube automatically.  ... 
doi:10.5281/zenodo.2631873 fatcat:tsrx5cn42barhbcwmqsiwhg364

Audio Signal Processing [chapter]

Preeti Rao
2008 Studies in Computational Intelligence  
Music Information Retrieval Automatically extracting musical information from audio data is important to the task of structuring and organizing the huge amounts of music available in digital form on the  ...  Zhang and Kuo [19] proposed a method for the automatic segmentation and annotation of audiovisual data based on audio content analysis.  ... 
doi:10.1007/978-3-540-75398-8_8 fatcat:37ikm5yti5chxirnjsv3zid2we

Audio Signal Processing [chapter]

2006 Real-Time Digital Signal Processing  
Music Information Retrieval Automatically extracting musical information from audio data is important to the task of structuring and organizing the huge amounts of music available in digital form on the  ...  Zhang and Kuo [19] proposed a method for the automatic segmentation and annotation of audiovisual data based on audio content analysis.  ... 
doi:10.1002/0470035528.ch13 fatcat:jd6w2rpstfa4bfhxubxvclqfyi

Creating music videos using automatic media analysis

Jonathan Foote, Matthew Cooper, Andreas Girgensohn
2002 Proceedings of the tenth ACM international conference on Multimedia - MULTIMEDIA '02  
We present methods for automatic and semi-automatic creation of music videos, given an arbitrary audio soundtrack and source video.  ...  High quality video clips are then automatically selected and aligned in time with significant audio changes.  ...  Self-Similarity Analysis of Audio Once the signal has been parameterized, it is then embedded in a two-dimensional representation.  ... 
doi:10.1145/641007.641119 dblp:conf/mm/FooteCG02 fatcat:ymwje4cejffkpfpgbmyuolbgzm
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