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Judul Buku
Techniques for Noise Robustness in Automatic Speech Recognition ISBN9781118392683 |
| No | Judul Bab | Hits | Opsi |
|---|---|---|---|
| 1 | Front Matter | 0 | Download |
| 2 | Introduction | 3 | Download |
| 3 | The Basics of Automatic Speech Recognition | 4 | Download |
| 4 | The Problem of Robustness in Automatic Speech Recognition | 2 | Download |
| 5 | Voice Activity Detection, Noise Estimation, and Adaptive Filters for Acoustic Signal Enhancement | 2 | Download |
| 6 | Extraction of Speech from Mixture Signals | 2 | Download |
| 7 | Microphone Arrays | 2 | Download |
| 8 | From Signals to Speech Features by Digital Signal Processing | 2 | Download |
| 9 | Features Based on Auditory Physiology and Perception | 2 | Download |
| 10 | Feature Compensation | 2 | Download |
| 11 | Reverberant Speech Recognition | 2 | Download |
| 12 | Adaptation and Discriminative Training of Acoustic Models | 2 | Download |
| 13 | Factorial Models for Noise Robust Speech Recognition | 2 | Download |
| 14 | Acoustic Model Training for Robust Speech Recognition | 2 | Download |
| 15 | Missing‐Data Techniques: Recognition with Incomplete Spectrograms | 2 | Download |
| 16 | Missing‐Data Techniques: Feature Reconstruction | 2 | Download |
| 17 | Computational Auditory Scene Analysis and Automatic Speech Recognition | 2 | Download |
| 18 | Uncertainty Decoding | 2 | Download |
| 19 | Index | 2 | Download |