Speech Technologies

Preface Speech Technologies
......Page 2
Part
 1......Page 12
01_Multi-channel Feature Enhancement for Robust 
Speech Recognition......Page 14
02_Real-time Hardware Feature Extraction with Embedded Signal Enhancement for Automatic Speech Recognition......Page 40
03_Nonlinear Dimensionality Reduction Methods for Use with Automatic Speech Recognition......Page 66
04_Determination of Spectral Parameters of Speech Signal by Goertzel Algorithm......Page 90
05_Blind Segmentation of Speech Using Non-linear Filtering Methods......Page 116
06_Towards a Multimodal Silent Speech Interface for European Portuguese......Page 136
07_The Influence of Lombard Effect on Speech Recognition......Page 162
08_Suitable Reverberation Criteria for Distant-talking Speech Recognition......Page 180
09_The Importance of Acoustic Reflex in Speech Discrimination......Page 196
10_Single-Microphone Speech Separation: The use of Speech Models......Page 206
Part 2......Page 230
11_Speech Recognition System of Slovenian Broadcast News......Page 232
12_Wake-Up-Word Speech Recognition......Page 248
13_Syllable Based Speech Recognition......Page 274
14_Phone Recognition on the TIMIT Database......Page 296
15_HMM adaptation Using Statistical Linear Approximation for Robust Speech Recognition......Page 314
16_Speech Recognition Based on the Grid Method and Image Similarity......Page 332
Part 3......Page 352
17_Improvement of Sound Quality on the Body Conducted Speech Using Differential Acceleration......Page 354
18_Frequency Lowering Algorithms for the Hearing Impaired......Page 372
19_The Usability of Speech and Eye Gaze as a Multimodal Interface for a Word Processor......Page 396
20-Vowel Judgment for Facial Expression Recognition of a Speaker......Page 416
21_Speech Research in TUSUR......Page 436