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Singing voice detection using twice-iterated composite Fourier transform

N.C. Maddage, Kongwah Wan, Changsheng Xu, Ye Wang
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)  
In this paper, we propose a Twice-Iterated Composite Fourier Transform (TICFT) technique to detect the singing voice boundaries from acoustical polyphonic music signals.  ...  Then TICFT is used to measure the harmonic structure of each frame. Finally, the vocal and instrumental frames are classified by applying music domain knowledge.  ...  Twice Iterated Composite Fourier Transform (TICFT) The TICFT detection of harmonic structures of both vocal and instrumental music is shown in Figure 4 .  ... 
doi:10.1109/icme.2004.1394478 fatcat:k45mhxuls5exxlca46ebu45oae

Singing Voice Detection: A Survey

Ramy Monir, Daniel Kostrzewa, Dariusz Mrozek
2022 Entropy  
Singing voice detection or vocal detection is a classification task that determines whether there is a singing voice in a given audio segment.  ...  This process is a crucial preprocessing step that can be used to improve the performance of other tasks such as automatic lyrics alignment, singing melody transcription, singing voice separation, vocal  ...  [53] presented an approach for detecting singing voice boundaries derived from acoustical polyphonic music signals. They called this approach twice-iterated composite Fourier transform (TICFT).  ... 
doi:10.3390/e24010114 pmid:35052140 pmcid:PMC8775013 fatcat:nt3wnmf4e5anxiiinkpvuqxwfq

Singing voice detection in popular music

Tin Lay Nwe, Arun Shenoy, Ye Wang
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
Our technique uses a combination of harmonic content attenuation using higher level musical knowledge of key followed by sub-band energy processing to obtain features from the musical audio signal.  ...  In [7], Maddage et al. have proposed a Twice-Iterated Composite Fourier Transform (TIC-FT) technique to detect the singing voice boundaries by showing that the cumulative TICFT energy in the lower coefficients  ...  /Music Discriminator (SMD) system to detect the singing voice.  ... 
doi:10.1145/1027527.1027602 dblp:conf/mm/NweSW04 fatcat:ufnv7gmfrzcdlpzyea4fnuft4q

Issues on Modeling the Singing Voice

Alex Loscos, Xavier Serra
2003 Zenodo  
This set of gathered publications are mainly focused on the field of singing voice processing; more precisely, on spectral processing techniques and voice modeling for singing voice analysis, transformation  ...  The Fast Fourier Transform (FFT) obtains its spectrum and the prominent spectral peaks are detected in the magnitude.  ...  the Discrete Fourier Transformation.  ... 
doi:10.5281/zenodo.3739254 fatcat:jczy57vmfbbbbg2rrnnswiykvu

Singing voice detection for karaoke application

Arun Shenoy, Yuansheng Wu, Ye Wang
2005 Visual Communications and Image Processing 2005  
We present a framework to detect the regions of singing voice in musical audio signals. This work is oriented towards the development of a robust transcriber of lyrics for karaoke applications.  ...  This is followed by subband processing of the audio to detect the musical octaves in which the vocals are present.  ...  Maddage(a) et al. 13 have adopted a twice-iterated composite fourier transform (TICFT) technique to detect the singing voice boundaries.  ... 
doi:10.1117/12.631645 fatcat:xxhok5a6j5d77fk4uct6zao6um

Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design? [article]

Monika Doerfler, Thomas Grill, Roswitha Bammer, Arthur Flexer
2018 arXiv   pre-print
We also conducted extensive experimental work on the task of singing voice detection in music.  ...  of these experiments show that for classification based on Convolutional Neural Networks the features obtained from adaptive filter banks followed by time-averaging perform better than the canonical Fourier-transform-based  ...  AOC measures for the problem of singing voice detection.  ... 
arXiv:1709.02291v3 fatcat:4i2hr3ejezfa5mx5bbumgsiiye

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions [article]

Shulei Ji, Jing Luo, Xinyu Yang
2020 arXiv   pre-print
This paper attempts to provide an overview of various composition tasks under different music generation levels, covering most of the currently popular music generation tasks using deep learning.  ...  The time domain signals can be transformed into spectra by Fourier transform (FT) or Short-Time Fourier transform (STFT).  ...  singing voice synthesis tasks.  ... 
arXiv:2011.06801v1 fatcat:cixou3d2jzertlcpb7kb5x5ery

Classification in music research

Claus Weihs, Uwe Ligges, Fabian Mörchen, Daniel Müllensiefen
2007 Advances in Data Analysis and Classification  
In this paper we first discuss typical problems and possible influential features derived from signal analysis, mental mechanisms or concepts, and compositional structure.  ...  Then, we present typical solutions of such tasks related to music research, namely for organization of music collections, transcription of music signals, cognitive psychology of music, and compositional  ...  Sometimes the Inverse Fourier Transform is used instead of the DCT.  ... 
doi:10.1007/s11634-007-0016-x fatcat:36sv5netmrh43kj2j62dtyfzwi

Automatic Music Transcription as We Know it Today

Anssi P. Klapuri
2004 Journal of New Music Research  
The transcription task is here understood as transforming an acoustic musical signal into a MIDI-like symbolic representation.  ...  Surprisingly, even the transcription of single-voice singing is not a solved problem, as indicated by the fact that the accuracy of the "voice input" functionalities in scoretypesetting programs is still  ...  This can be seen by writing Equation (2) in terms of the Fourier spectrum X(k) of a real-valued input signal as (3) where K is the length of the transform frame.  ... 
doi:10.1080/0929821042000317840 fatcat:fwg3vtwerfcv5g5f43win2zvvy

Automatic Assessment Of Singing Voice Pronunciation: A Case Study With Jingju Music

Rong Gong, Xavier Serra
2018 Zenodo  
us to select it as the major music tradition for this dissertation.  ...  Automatic singing voice assessment, as an important task in Music Information Research (MIR), aims to extract musically meaningful information and measure the quality of learners' singing voice.  ...  Let the recording of a melodic line can be reduced by short-term Fourier transform (STFT).  ... 
doi:10.5281/zenodo.1490343 fatcat:f3mrhstkdff6ppmdadeasfuo7m

Melody Description and Extraction in the Context of Music Content Processing

Emilia G�mez, Anssi Klapuri, Beno�t Meudic
2003 Journal of New Music Research  
Finally, techniques for melodic pattern induction and matching are also studied, and some useful melodic transformations are reviewed.  ...  As a third step, an analysis of the methods proposed for melody extraction is made, including pitch detection algorithms.  ...  First, x(k) is zero-padded to twice its length and transformed into the frequency domain using the short-time Fourier transform (STFT).  ... 
doi:10.1076/jnmr. fatcat:dycv7ac2uravjedpkponvmmada


2005 International Journal of Bifurcation and Chaos in Applied Sciences and Engineering  
Music can be considered the semantics of dynamical systems, which gives us a powerful method for interpreting complexity.  ...  This tutorial concerns the translation of Chua's oscillators into music, in order to find a new way of understanding complexity by using music.  ...  Also the human singing voice has pitch ranges, with different qualities for male and female subject. For example, Soprano is a high woman's voice. Alto is a low woman's voice.  ... 
doi:10.1142/s0218127405012156 fatcat:p63k3dtlqbbpbd4ehczfniyoxu

Overview [chapter]

2013 Musical Signal Processing  
The DFT can be calculated very efficiently using an algorithm called the fa st Fourier transform, or FFT.  ...  and in frequency (a partial) has a well defined frequency rep resentation: the transform of the analysis window used to compute the Fourier transform.  ...  Berio's composition aims at transforming a child's voice into a clarinet and vice versa. Then both should be transformed into a trombone.  ... 
doi:10.4324/9781315078120-11 fatcat:rylq5og6njbqbhe6idh2n7nksy

Noise reduction for periodic signals using high-resolution frequency analysis

Toshio Yoshizawa, Shigeki Hirobayashi, Tadanobu Misawa
2011 EURASIP Journal on Audio, Speech, and Music Processing  
Like many noise reduction methods, the spectrum subtraction method uses discrete Fourier transform (DFT) for frequency analysis.  ...  Similarly, if the time resolution is low, rapid frequency variations cannot be detected.  ...  We will also be able to remove noise from a recording of a singing voice because this is a periodic signal.  ... 
doi:10.1186/1687-4722-2011-426794 fatcat:edfbfk5lszadtdqfspky3nucvu

Introduction to Digital Speech Processing

Lawrence R. Rabiner, Ronald W. Schafer
2007 Foundations and Trends® in Signal Processing  
The breadth of this subject does not allow us to discuss any aspect of speech processing to great depth; hence our goal is to provide a useful introduction to the wide range of important concepts that  ...  present a comprehensive overview of digital speech processing that ranges from the basic nature of the speech signal, through a variety of methods of representing speech in digital form, to applications in voice  ...  Acknowledgments We wish to thank Professor Robert Gray, Editor-in-Chief of Now Publisher's Foundations and Trends in Signal Processing, for inviting us to prepare this text.  ... 
doi:10.1561/2000000001 fatcat:j3eqhs7rvbb6noom4lqwury2xq
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