Direction of arrival estimation and localization of multi-speech sources

• 作者： Dey, Nilanjan, author.
• 其他作者：
  • Ashour, Amira S., author.
  • SpringerLink (Online service)
• 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. , Signal processing--Digital techniques. , Engineering. , Signal, Image and Speech Processing. , Computational Linguistics. , Language Translation and Linguistics.
• ISBN： 9783319730592 (electronic bk.) 、 9783319730585 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Background on Acoustics/Speech Signal -- Sources Localization and DOAE Techniques -- Multi-Source Direction of Arrival Estimation Techniques. Applications of Localization and Tracking Problem of Multiple Speech Sources -- Challenges and Future perspectives in speech-sources DOAE and localization -- Conclusion.
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• 摘要註: This book presents research and applications on arrival estimation and localization in speech processing to ensure that the broad vision of the direction of arrival estimation (DOAE) / localization of speech sources is well-established. The book first provides a brief overview of the most classical direction of arrival estimation and localization techniques. It then introduces the concept and model of acoustics sources and then highlights the most contemporary studies on this pervasive problem. In addition, the authors explore employing the optimization algorithms to improve the DOAE techniques. The book then highlights the concept and principles of the multi-DOAE approaches. Using a microphone array, the book introduces the localization and tracking problem of multiple speech/acoustic sources. It includes several applications and real-life speech sources localization based on the DOAE approaches. The book reports the challenges facing the DOAE techniques in speech-sources localization. The book pertains to researchers, designers, and engineers in speech processing fields.
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