Timbre

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]] In music, timbre is the quality of a musical note or sound or tone that distinguishes different types of sound production, such as voices and musical instruments. (Wikipedia.org)






Conferences related to Timbre

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ICASSP 2017 - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

The 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA


2012 5th International Congress on Image and Signal Processing (CISP)

CISP is a premier international forum for scientists and researchers to present the state of the art of image and signal processing. Specific topics include Image restoration, Pattern recognition, Remote sensing, filters, Signal modeling, etc.

  • 2011 4th International Congress on Image and Signal Processing (CISP)

    CISP 11 is a premier international forum for scientists and researchers to present the state of the art of image and signal processing. Specific topics include Image restoration, Feature extraction, Image and video databases, Pattern recognition, Remote sensing, Filter design & digital filters, Signal modeling, identification & prediction, etc.

  • 2010 3rd International Congress on Image and Signal Processing (CISP)

    CISP 10 is a premier international forum for scientists and researchers to present the state of the art of multimedia and signal processing. It is co-located with the 3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010) to promote interactions biomedical research and signal processing.

  • 2009 2nd International Congress on Image and Signal Processing (CISP)

    biomedical engineering, biomedical informatics, multimedia, and signal processing


2012 IEEE Statistical Signal Processing Workshop (SSP)

The aim of the 2012 SSP is to bring the members of the IEEE Signal Processing and the allied field together. The scope of the workshop includes basic theory, methods and algorithms, and applications in various areas of statistical signal processing.

  • 2011 IEEE Statistical Signal Processing Workshop (SSP)

    The Statistical Signal Processing (SSP) workshop brings members of the IEEE SPS together with researchers from allied fields such as statistics and bioinformatics. The scope of the workshop includes basic theory, methods and algorithms, and applications of statistics in signal processing.

  • 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP)

    To bring the members of the IEEE Signal Processing and the allied field together. The scope of the workshop includes basic theory, methods and algorithms, and applications in various areas of statistcal signal processing


2012 International Conference on Image Analysis and Signal Processing (IASP)

The main areas will be covered include Image Analysis: e.g. image quantification and image codes; Image reconstruction and image enhancement; Image segmentation and feature extraction; Image fusion and ultra resolution; Image mining and knowledge discovery; Signal Processing, e.g. signal representation and transforms and so on; Computer related fields and Applications in the filed of Biomedical sciences and biometry; Authentication and other applications.

  • 2011 International Conference on Image Analysis and Signal Processing (IASP)

    The main areas will be covered include Image Analysis: e.g. image quantification and image codes; Image reconstruction and image enhancement; Image segmentation and feature extraction; Image fusion and ultra resolution; Image mining and knowledge discovery; Signal Processing, e.g. signal representation and transforms and so on; Computer related fields and Applications in the filed of Biomedical sciences and biometry; Authentication and other applications.

  • 2010 International Conference on Image Analysis and Signal Processing (IASP)

    IASP2010 aims to provide a high-level international forum for scientists, researchers and engineers. It will focus on image quantification and image codes, reconstruction, enhancement, segmentation, feature extraction, fusion and ultra resolution, information hiding and digital watermarking, content-based image information retrieval, video transmission and analysis, and computer applications and related fields.

  • 2009 International Conference on Image Analysis and Signal Processing (IASP)

    IASP2009 aims to provide a high-level international forum for scientists, researchers and engineers. It will focus on image quantification and image codes, reconstruction, enhancement, segmentation, feature extraction, fusion and ultra resolution, information hiding and digital watermarking, content-based image information retrieval, video transmission and analysis, and computer applications and related fields.


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Periodicals related to Timbre

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...




Xplore Articles related to Timbre

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Design and comparison of different evolution strategies for feature selection and consolidation in music classification

I. Vatolkin; W. Theimer; G. Rudolph 2009 IEEE Congress on Evolutionary Computation, 2009

Music classification is a complex problem which has gained high relevance for organizing large music collections. Different parameters concerning feature extraction, selection, processing and classification have a strong impact on the categorization quality. Since it is very difficult to design a deterministic approach which provides the efficient parameter tuning, we haven chosen a heuristic approach. In our work we apply ...


Mixing audio and animation: contemporary synesthesia

G. Singh IEEE Computer Graphics and Applications, 2001

First Page of the Article ![](/xploreAssets/images/absImages/00946623.png)


Timbre model of software musical instrument based on sine interpolation

Xi-zheng Cao; Hui-li Meng; Jiu-cheng Xu 2009 International Conference on Image Analysis and Signal Processing, 2009

This paper presents a model to adjust timbre of software musical instrument by changing timbre parameters. The model is based on sine interpolation. It includes two sub models, vibration and amplitude envelope. To reflect the frequency spectrum, the model provides several parameters: offset coefficient, amplitude coefficient and frequency coefficient. The corresponding frequency spectrum of each parameter combination is obtained using ...


Selecting non-uniform units from a very large corpus for concatenative speech synthesizer

Min Chu; Hu Peng; Hong-yun Yang; E. Chang 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001

This paper proposes a two-module text to speech system (TTS) structure, which bypasses the prosody model that predicts numerical prosodic parameters for synthetic speech. Instead, many instances of each basic unit from a large speech corpus are classified into categories by a classification and regression tree (CART), in which the expectation of the weighted sum of square regression error of ...


Natural synthesis of North Indian musical instruments

S. N. Gunasekera; J. V. Wijayakulasooriya; P. C. Perera 2009 International Conference on Industrial and Information Systems (ICIIS), 2009

In this endeavor, it is attempted to generate an automatic audio output from a given text file of musical notations of North Indian Classical Music via synthesizing of different musical instruments. The mathematical model developed in this attempt is based on the fundamental frequency component together with extracted envelop of one specified note from the computer acquired waveform to produce ...


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Educational Resources on Timbre

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eLearning

Design and comparison of different evolution strategies for feature selection and consolidation in music classification

I. Vatolkin; W. Theimer; G. Rudolph 2009 IEEE Congress on Evolutionary Computation, 2009

Music classification is a complex problem which has gained high relevance for organizing large music collections. Different parameters concerning feature extraction, selection, processing and classification have a strong impact on the categorization quality. Since it is very difficult to design a deterministic approach which provides the efficient parameter tuning, we haven chosen a heuristic approach. In our work we apply ...


Mixing audio and animation: contemporary synesthesia

G. Singh IEEE Computer Graphics and Applications, 2001

First Page of the Article ![](/xploreAssets/images/absImages/00946623.png)


Timbre model of software musical instrument based on sine interpolation

Xi-zheng Cao; Hui-li Meng; Jiu-cheng Xu 2009 International Conference on Image Analysis and Signal Processing, 2009

This paper presents a model to adjust timbre of software musical instrument by changing timbre parameters. The model is based on sine interpolation. It includes two sub models, vibration and amplitude envelope. To reflect the frequency spectrum, the model provides several parameters: offset coefficient, amplitude coefficient and frequency coefficient. The corresponding frequency spectrum of each parameter combination is obtained using ...


Selecting non-uniform units from a very large corpus for concatenative speech synthesizer

Min Chu; Hu Peng; Hong-yun Yang; E. Chang 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001

This paper proposes a two-module text to speech system (TTS) structure, which bypasses the prosody model that predicts numerical prosodic parameters for synthetic speech. Instead, many instances of each basic unit from a large speech corpus are classified into categories by a classification and regression tree (CART), in which the expectation of the weighted sum of square regression error of ...


Natural synthesis of North Indian musical instruments

S. N. Gunasekera; J. V. Wijayakulasooriya; P. C. Perera 2009 International Conference on Industrial and Information Systems (ICIIS), 2009

In this endeavor, it is attempted to generate an automatic audio output from a given text file of musical notations of North Indian Classical Music via synthesizing of different musical instruments. The mathematical model developed in this attempt is based on the fundamental frequency component together with extracted envelop of one specified note from the computer acquired waveform to produce ...


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