Proceedings of the 9th Conference on Sound and Music Technology [electronic resource] : Revised Selected Papers from CMST / edited by Xi Shao, Kun Qian, Xin Wang, Kejun Zhang.
Tipo de material: TextoSeries Lecture Notes in Electrical Engineering ; 923Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: VIII, 149 p. 65 illus., 56 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811947032Tema(s): Speech processing systems | Signal processing | Acoustical engineering | Music -- Mathematics | Music theory | Speech and Audio Processing | Engineering Acoustics | Mathematics in Music | Theory of MusicFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK7882.S65TK5102.9Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|---|
Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Music Acoustics -- Audio and Music Signal Processing -- Computer Audition -- Computer Music and Sound Recording -- Audio Information Security -- Auditory Psychology -- Audio for Healthcare.
The book presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) held virtually in June 2022, organized by Zhejiang University, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the conference is to promote the collaboration between art society and technical society in China. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).
UABC ; Perpetuidad