Speech Recognition

Description

Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.

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1. Ebooks list page : 3118
2. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
3. Speech Synthesis and Recognition
4. Distant Speech Recognition
5. Fundamentals of Speech Recognition
6. Speech & Audio Processing and Recognition
7. Visual Speech Recognition: Lip Segmentation and Mapping
8. Pattern Recognition in Speech and Language Processing
9. Pattern Recognition in Speech and Language Processing
10. Digital Speech Processing, Synthesis and Recognition
11. Pattern Recognition in Speech and Language Processing
12. Speech Recognition Over Digital Channels: Robustness and Standards
13. [share_ebook] Speech Recognition using Neural Networks
14. Incorporating Knowledge Sources into Statistical Speech Recognition
15. Speech Recognition Over Digital Channels: Robustness and Standards
16. Robust Speech Recognition in Embedded Systems and PC Applications