A Robust Feature Extraction Method for Real-Time Speech Recognition System on a Raspberry Pi 3 Board
The development of a real-time automatic speech recognition system (ASR) better adapted to environmental variabilities, such as noisy surroundings, speaker variations and accents has become a high priority. Robustness is required, and it can be performed at the feature extraction stage which avoids...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2019-04-01
|
| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/2533 |