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A Method For Visualizing The Pitch Content Of Polyphonic Music Signals

Anssi Klapuri
2009 Zenodo  
This makes the proposed method particularly suitable for pitch content visualization.  ...  INTRODUCTION Pitch analysis of polyphonic music is a challenging task where computational methods have not yet achieved the accuracy and flexibility of trained musicians.  ... 
doi:10.5281/zenodo.1415036 fatcat:bpnmbqztxbe6dkqh5yccz22z7u

Melody Extraction from Polyphonic Music Signal using STFT and Fanchirp Transform

Sridevi S. H., S. R. Gulhane
2015 International Journal of Engineering Research and  
The main aim of melody extraction is to produce a sequence of frequency values corresponding to the pitch of the dominant melody present in the given musical recording.  ...  The term melody is a musicological concept based on the judgment of human listener's .Melody extraction from polyphonic music is a difficult task in music information retrieval.  ...  Thus a single representation based on all the samples of a polyphonic music signal, for the most part, has no meaning.  ... 
doi:10.17577/ijertv4is060928 fatcat:llblnxu5bzeetcatjibwmz5i5y

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.  ...  We present a novel interface for semi-automatic melody extraction with the goal to provide highly accurate pitch tracks of the lead voice with minimal user intervention.  ...  A rough definition of the melody of a song is the monophonic pitch sequence that a listener might reproduce if asked to hum a segment of polyphonic music [1] .  ... 
doi:10.1109/ncc.2010.5430181 fatcat:2kpiveh5arg5tonltlyzct3rka

Singing information processing based on singing voice modeling

Masataka Goto, Takeshi Saitou, Tomoyasu Nakano, Hiromasa Fujihara
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
Common signal processing techniques for modeling singing voices that are used in these systems, such as techniques for extracting the vocal melody from polyphonic music recordings and modeling the lyrics  ...  In this paper, we propose a novel area of research referred to as singing information processing.  ...  Singer ID: Singer identification for polyphonic music recordings Our Singer ID system automatically identifies the name of the singer who sang the input song in the form of polyphonic musical audio signals  ... 
doi:10.1109/icassp.2010.5495212 dblp:conf/icassp/GotoSNF10 fatcat:3xlmcazibngltmkxlw2kv5c35m

Pitch Content Visualization Tools For Music Performance Analysis

Luis Jure, Ernesto López, Martín Rocamora, Pablo Cancela, Haldo Sponton, Ignacio Irigaray
2012 Zenodo  
PITCH SALIENCE REPRESENTATION A representation intended for visualizing the pitch content of polyphonic music signals should provide an indication of prominence or salience for all possible pitch values  ...  Using time-frequency representations of the audio signal, Cogan proposes an analytical method applicable to both structural and local aspects of a musical piece, that exemplifies analyzing music from very  ... 
doi:10.5281/zenodo.1414860 fatcat:ysohzdgvybaq7k7m7vb5hcpplm

Content-Based Retrieval in Digital Music Libraries [chapter]

Michael Clausen, Frank Kurth, Meinard Müller, Andreas Ribbrock
2004 Lecture Notes in Computer Science  
MiDiLiB is a six year research project on digital music libraries funded by the German Research Foundation (DFG) as a part of the Distributed Processing and Delivery of Digital Documents (V 3 D 2 ) research  ...  In this paper we give an overview of our research results, describe several prototypical systems for content-based music retrieval which have been developed during the project, and discuss applications  ...  When the underlying music documents consist of audio signals as, e.g., CD-audio, content-based retrieval requires methods from digital signal processing.  ... 
doi:10.1007/978-3-540-30230-8_27 fatcat:56pwgfgtgzhb7mmnwy5nalf6x4

Instrument-Specific Harmonic Atoms for Mid-Level Music Representation

Pierre Leveau, Emmanuel Vincent, GaËl Richard, Laurent Daudet
2008 IEEE Transactions on Audio, Speech, and Language Processing  
Several studies have pointed out the need for accurate mid-level representations of music signals for information retrieval and signal processing purposes.  ...  In this paper, we propose a new mid-level representation based on the decomposition of a signal into a small number of sound atoms or molecules bearing explicit musical instrument labels.  ...  Leveau visited the Centre for Digital Music, Queen Mary University of London, where E. Vincent was a Research Assistant.  ... 
doi:10.1109/tasl.2007.910786 fatcat:3doxbajexbdlfkdcdzlvzjixmu

Signal-Driven Window-Length Adaptation for Sinusoid Detection in Polyphonic Music

Vishweshwara Rao, Pradeep Gaddipati, Preeti Rao
2012 IEEE Transactions on Audio, Speech, and Language Processing  
However, different real-world signal conditions such as polyphony and non-stationarity, manifested as musical accompaniment and pitch-modulations respectively in the context of music content analysis,  ...  In this paper, we investigate the use of signal sparsity for adapting analysis window lengths.  ...  The frequency error metrics for all methods are similar in the case of clean and polyphonic signals. For the vibrato signal however, this is higher for the weighted bin-offset method.  ... 
doi:10.1109/tasl.2011.2162319 fatcat:xmoyzuvt3vaubawc4dpt6cfnju

Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

Justin Salamon, Emilia Gomez, Daniel P. W. Ellis, Gael Richard
2014 IEEE Signal Processing Magazine  
M elody extraction algorithms aim to produce a sequence of frequency values corresponding to the pitch of the dominant melody from a musical recording.  ...  We start with a discussion of "melody" from both musical and signal processing perspectives and provide a case  ...  Her main research interests are related to melodic and tonal description of music audio signals, computer-assisted music analysis, and computational ethnomusicology. She is a Member of the IEEE.  ... 
doi:10.1109/msp.2013.2271648 fatcat:5dzpy4j3ibfzhmsgeoww3b5jwa

Content-Based Music Information Retrieval: Current Directions and Future Challenges

M.A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, M. Slaney
2008 Proceedings of the IEEE  
Some of the music collections available are approaching the scale of ten million tracks and this has posed a major challenge for searching, retrieving, and organizing music content.  ...  This paper outlines the problems of content-based music information retrieval and explores the state-of-the-art methods using audio cues (e.g., query by humming, audio fingerprinting, content-based music  ...  In the early days of MIR, many query-by-humming systems were proposed that sought to extract melodic content from polyphonic audio signals (those with multiple simultaneous musical lines) so that a user  ... 
doi:10.1109/jproc.2008.916370 fatcat:ynpw7lyf6fchfdzzl5jll22cee

Computational Methods for Melody and Voice Processing in Music Recordings (Dagstuhl Seminar 19052)

Meinard Müller, Emilia Gómez, Yi-Hsun Yang, Michael Wagner
2019 Dagstuhl Reports  
It is often the melody, a specific succession of musical tones, which constitutes the leading element in a piece of music.  ...  The Dagstuhl Seminar 19052 was devoted to a branch of MIR that is of particular importance: processing melodic voices (with a focus on singing voices) using computational methods.  ...  As for commercial music applications, users are very critical regarding the quality of the presented music content.  ... 
doi:10.4230/dagrep.9.1.125 dblp:journals/dagstuhl-reports/MullerGY19 fatcat:w4slm5nxqrdlfaser5dtqar7s4

Visually informed multi-pitch analysis of string ensembles

Karthik Dinesh, Bochen Li, Xinzhao Liu, Zhiyao Duan, Gaurav Sharma
2017 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This is challenging for approaches based on audio alone due to the polyphonic nature of the audio signals.  ...  As the first attempt towards audio-visual multi-pitch analysis of multiinstrument musical performances, we demonstrate the concept on 11 string ensembles.  ...  Advances in the field of multimodal signal analysis have propelled the use of visual features along with audio features to solve a variety of problems like information retrieval [11] , multimedia content  ... 
doi:10.1109/icassp.2017.7952711 dblp:conf/icassp/DineshLLDS17 fatcat:hhvad6bqmjekxplhnjaus4yr2u

Signal Processing for Music Analysis

Meinard Muller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard
2011 IEEE Journal on Selected Topics in Signal Processing  
Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations originally developed for speech  ...  Our goal is to demonstrate that, to be successful, music audio signal processing techniques must be informed by a deep and thorough insight into the nature of music itself.  ...  This section will first discuss feature representations for timbre and then review methods for musical instrument recognition in isolation and in polyphonic music signals. A.  ... 
doi:10.1109/jstsp.2011.2112333 fatcat:qvrgekkhzfdkljxn4xbrahg6hu

Pitch Histograms in Audio and Symbolic Music Information Retrieval

George Tzanetakis, Andrey Ermolinskyi, Perry Cook
2003 Journal of New Music Research  
A multiple-pitch detection algorithm for polyphonic signals is used to calculate Pitch Histograms for audio signals.  ...  In this paper, Pitch Histograms are defined and proposed as a way to represent the pitch content of music signals both in symbolic and audio form.  ...  The visualization interfaces described in this paper will be used for exploring the extraction of more detailed pitch content information from music signals in symbolic and audio form.  ... 
doi:10.1076/jnmr. fatcat:nhp7lrwjqvhozcugtfnkbdrkiq

Multimedia information retrieval

Markus Schedl, Emilia Gómez, Masataka Goto
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
Acknowledgments This research is supported by the Austrian Science Fund (FWF): P22856, P25655, and the EU FP7: 601166.  ...  " [14, 13] . • MELODIA 2 , a plugin for melody extraction from polyphonic music signals [11] . • HPCP 3 , a plugin for chroma feature extraction from polyphonic music signals [2] . • The Musical Avatar  ...  We review state-of-the-art techniques for the automatic description of music signals in terms of timbre (instrumentation), pitch-content information (melody, harmony and tonality), and rhythm (tempo or  ... 
doi:10.1145/2502081.2502237 dblp:conf/mm/SchedlGG13 fatcat:korpleagovgrhjcnjq2cz3q6qu
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