Buch, Englisch, 206 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 340 g
Algorithms and Case Studies
Buch, Englisch, 206 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 340 g
ISBN: 978-0-12-823898-1
Verlag: William Andrew Publishing
Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques of intelligent speech signal processing methods and systems. It provides an outstanding foundation for undergraduate and post-graduate students as well.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Informatik Tonsignalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
Weitere Infos & Material
1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients2. Closed-Set Speaker Identification System based on MFCC and PNCC features in Combination with Different Fusion Strategy3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications4. A novel approach towards phoneme-to-viseme mapping in Malayalam5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation