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Knowledge
Speech Technologies – Ivo Ipsic, 432 Pages
This book addresses different aspects of the research field and a wide range of topics in speech signal processing, speech recognition and language processing. The chapters are divided in three different sections: Speech Signal Modeling, Speech Recognition and Applications. The chapters in the first section cover some essential topics in speech signal processing used for building speech recognition as well as for speech synthesis systems: speech feature enhancement, speech feature vector dimensionality reduction, segmentation of speech frames into phonetic segments. The chapters of the second part cover speech recognition methods and techniques used to read speech from various speech databases and broadcast news recognition for English and non-English languages. The third section of the book presents various speech technology applications used for body conducted speech recognition, hearing impairment, multimodal interfaces and facial expression recognition.Chapter 1 Multi-channel Feature Enhancement for Robust Speech Recognition
Chapter 2 Real-time Hardware Feature Extraction with Embedded Signal Enhancement for Automatic Speech Recognition
Chapter 3 Nonlinear Dimensionality Reduction Methods for Use with Automatic Speech Recognition
Chapter 4 Determination of Spectral Parameters of Speech Signal by Goertzel Algorithm
Chapter 5 Blind Segmentation of Speech Using Non-linear Filtering Methods
Chapter 6 Towards a Multimodal Silent Speech Interface for European Portuguese
Chapter 7 The Influence of Lombard Effect on Speech Recognition
Chapter 8 Suitable Reverberation Criteria for Distant-talking Speech Recognition
Chapter 9 The Importance of Acoustic Reflex in Speech Discrimination
Chapter 10 Single-Microphone Speech Separation: The use of Speech Models
Chapter 11 Speech Recognition System of Slovenian Broadcast News
Chapter 12 Wake-Up-Word Speech Recognition
Chapter 13 Syllable Based Speech Recognition
Chapter 14 Phone Recognition on the TIMIT Database
Chapter 15 HMM Adaptation Using Statistical Linear Approximation for Robust Speech Recognition 303
Chapter 16 Speech Recognition Based on the Grid Method and Image Similarity
Chapter 17 Improvement of Sound Quality on the Body Conducted Speech Using Differential Acceleration
Chapter 18 Frequency Lowering Algorithms for the Hearing Impaired
Chapter 19 The Usability of Speech and Eye Gaze as a Multimodal Interface for a Word Processor
Chapter 20 Vowel Judgment for Facial Expression Recognition of a Speaker
Chapter 21 Speech Research in TUSUR
| Nguồn | : Internet |
| Tác giả | : Ivo Ipsic |
| Kiểu tập tin | |
| Độ lớn tập tin | : 26MB |
| Đăng bởi | : Thanh Ngoc |
| Cập nhật | : 30.11.2011 |
| Số lượt xem | : 331 |
| Số lượt tải | : 9 |
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