Synthesis of musical tones based on the Karhunen-Loeve transform

Stapleton, J.; Bass, S.

doi:10.1109/29.1527

Cited by 14 publications

(2 citation statements)

References 13 publications

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“…The musically expressive audio textures have been generated by using generalized audio. The generalized audio is produced by using a statistical decorrelation technique, such as principle component analysis and dynamic time warping algorithm [74,75]. In these methods, a single musical texture is generated by mixing many musical textures captured from various songs and radio stations.…”

Section: Papers Audio Texture Analysis Synthesis and Applicationsmentioning

confidence: 99%

Trends in Audio Texture Analysis, Synthesis, and Applications

Sharma¹,

Umapathy²

2022

J. Audio Eng. Soc.

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Audio signals are classified into speech, music, and environmental sounds. From the evolution of audio features, an adequate amount of work has been seen in speech and music processing. On the other hand, the environmental sounds have not been studied that much, and the major reason behind it is the lack of coherent information present in an environmental sound compared with the speech signal or a musical sound. The definition to express audio textures is imprecise and insufficient, so audio textures tend to be defined by drawing a comparison to the known sound source (e.g., "it sounds like a motor" or "like a fan"). Audio textures could be either natural or artificial. Natural audio textures, such as heavy rain, fire, and stream flowing, are very common. The artificial audio textures include sounds such as applause, a motor running, someone walking on gravel, babble, and many more. Although these audio textures have been used in virtual reality, music, screen saver sounds, and more, a considerable amount of possible work is still untouched. The aim of this study is to summarize the literature on audio textures, textural features, and their applications. In this survey, the texture synthesis and features are explained in detail.

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Section: Papers Audio Texture Analysis Synthesis and Applicationsmentioning

confidence: 99%

Trends in Audio Texture Analysis, Synthesis, and Applications

Sharma¹,

Umapathy²

2022

J. Audio Eng. Soc.

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“…The study of musical timbre is still a fairly ill-defined area; there is not even an agreed-upon extensional definition of the term "timbre." Some researchers have attempted to use dynamic spectrum analyses, i.e., the STFT [1], [2], while others try to reduce the dimensionality of the problem using principal components analysis [109] or homomorphic deconvolution [11]. Further, some of the parameter-estimation methods described above are applicable to instrument recognition if they are used with a goodness-of-fit measure.…”

Section: B Descriptive Analysis Of Soundmentioning

confidence: 99%

Structured audio: creation, transmission, and rendering of parametric sound representations

Vercoe

Gardner²,

Scheirer

1998

Proc. IEEE

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Structured audio representations are semantic and symbolic descriptions that are useful for ultralow-bit-rate transmission, flexible synthesis, and perceptually based manipulation and retrieval of sound. We present an overview of techniques for transmitting and synthesizing sound represented in structured format, and for creating structured representations from audio waveforms. We discuss applications for structured audio in virtual environments, music synthesis, gaming, content-based retrieval, interactive broadcast, and other multimedia contexts.

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Evolution in Digital Audio Technology

Horner¹

Evolutionary Computer Music

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Synthesis of musical tones based on the Karhunen-Loeve transform

Cited by 14 publications

References 13 publications

Trends in Audio Texture Analysis, Synthesis, and Applications

Trends in Audio Texture Analysis, Synthesis, and Applications

Structured audio: creation, transmission, and rendering of parametric sound representations

Evolution in Digital Audio Technology

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