Metaheuristic applications to speech enhancement
- 作者： Kunche, Prajna, author.
- 其他作者：
- 其他題名：
- SpringerBriefs in electrical and computer engineering.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： SpringerBriefs in electrical and computer engineering,
- 主題： Speech processing systems. , Engineering. , Signal, Image and Speech Processing. , Algorithm Analysis and Problem Complexity. , Computational Linguistics.
- ISBN： 9783319316833 (electronic bk.) 、 9783319316819 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Introduction -- Adaptive Noise Cancellation to Speech Enhancement -- Heuristic and Metaheuristic Optimization -- Application of Metaheuristics to Speech Enhancement -- Speech Enhancement Based on Accelerated Particle Swarm Optimization -- Speech Enhancement Approach Based on Gravitational Search Algorithm (GSA) -- Speech Enhancement Based on Hybrid PSOGSA -- Speech Enhancement Based on Bat Algorithm -- Conclusion and Future Scope.
- 摘要註: This book serves as a basic reference for those interested in the application of metaheuristics to speech enhancement. The major goal of the book is to explain the basic concepts of optimization methods and their use in heuristic optimization in speech enhancement to scientists, practicing engineers, and academic researchers in speech processing. The authors discuss why it has been a challenging problem for researchers to develop new enhancement algorithms that aid in the quality and intelligibility of degraded speech. They present powerful optimization methods to speech enhancement that can help to solve the noise reduction problems. Readers will be able to understand the fundamentals of speech processing as well as the optimization techniques, how the speech enhancement algorithms are implemented by utilizing optimization methods, and will be given the tools to develop new algorithms. The authors also provide a comprehensive literature survey regarding the topic.
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讀者標籤：
- 系統號： 005360686 | 機讀編目格式
館藏資訊
This book serves as a basic reference for those interested in the application of metaheuristics to speech enhancement. The major goal of the book is to explain the basic concepts of optimization methods and their use in heuristic optimization in speech enhancement to scientists, practicing engineers, and academic researchers in speech processing. The authors discuss why it has been a challenging problem for researchers to develop new enhancement algorithms that aid in the quality and intelligibility of degraded speech. They present powerful optimization methods to speech enhancement that can help to solve the noise reduction problems. Readers will be able to understand the fundamentals of speech processing as well as the optimization techniques, how the speech enhancement algorithms are implemented by utilizing optimization methods, and will be given the tools to develop new algorithms. The authors also provide a comprehensive literature survey regarding the topic.