
Applied Speech Processing
Algorithms and Case Studies
Description
Key Features
- Includes basics of speech data analysis and management tools with several applications, highlighting recording systems
- Covers different techniques of big data and Internet-of-Things in speech signal processing, including machine learning and data mining
- Offers a multidisciplinary view of current and future challenges in this field, with extensive case studies on the design, implementation, development and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing
Readership
Early career researchers, students, and those learning about a new area for an interdisciplinary project. It will be suitable to those involved in medical imaging, biomedical engineering, medical devices, and related fields
Table of Contents
1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients
2. Closed-Set Speaker Identification System based on MFCC and PNCC features Combination with Different Fusion Strategy
3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications
4. A novel approach towards phoneme-to-viseme mapping in Malayalam
5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement
6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement
7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation
Product details
- No. of pages: 206
- Language: English
- Copyright: © Academic Press 2021
- Published: January 19, 2021
- Imprint: Academic Press
- eBook ISBN: 9780128242131
- Paperback ISBN: 9780128238981