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G. Sharma, K. Umapathy, and S. Krishnan, "Trends in Audio Texture Analysis, Synthesis, and Applications," J. Audio Eng. Soc., vol. 70, no. 3, pp. 108-127, (2022 March.). doi: https://doi.org/10.17743/jaes.2021.0060 G. Sharma, K. Umapathy, and S. Krishnan, "Trends in Audio Texture Analysis, Synthesis, and Applications," J. Audio Eng. Soc., vol. 70 Issue 3 pp. 108-127, (2022 March.). doi: https://doi.org/10.17743/jaes.2021.0060
Abstract: 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 themajor 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.

@article{sharma2022trends,
author={sharma, garima and umapathy, karthikeyan and krishnan, sridhar},
journal={journal of the audio engineering society},
title={trends in audio texture analysis, synthesis, and applications},
year={2022},
volume={70},
number={3},
pages={108-127},
doi={https://doi.org/10.17743/jaes.2021.0060},
month={march},} @article{sharma2022trends,
author={sharma, garima and umapathy, karthikeyan and krishnan, sridhar},
journal={journal of the audio engineering society},
title={trends in audio texture analysis, synthesis, and applications},
year={2022},
volume={70},
number={3},
pages={108-127},
doi={https://doi.org/10.17743/jaes.2021.0060},
month={march},
abstract={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 themajor 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.},}

TY - paper
TI - Trends in Audio Texture Analysis, Synthesis, and Applications
SP - 108 EP - 127
AU - Sharma, Garima
AU - Umapathy, Karthikeyan
AU - Krishnan, Sridhar
PY - 2022
JO - Journal of the Audio Engineering Society
IS - 3
VO - 70
VL - 70
Y1 - March 2022 TY - paper
TI - Trends in Audio Texture Analysis, Synthesis, and Applications
SP - 108 EP - 127
AU - Sharma, Garima
AU - Umapathy, Karthikeyan
AU - Krishnan, Sridhar
PY - 2022
JO - Journal of the Audio Engineering Society
IS - 3
VO - 70
VL - 70
Y1 - March 2022
AB - 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 themajor 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.