SN Ratio Estimation and Speech Segment Detection of Extracted Signals Through Independent Component Analysis
| Autor: | Nobuo Iwasaki, Takaaki Ishibashi, Hiromu Gotanda, Hiroshi Shiratsuchi, Go Hirano, Takeshi Koya |
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| Rok vydání: | 2010 |
| Předmět: |
Estimation
Voice activity detection Computer science business.industry Speech recognition Noise reduction Pattern recognition Independent component analysis Human-Computer Interaction Computer Science::Sound Artificial Intelligence Computer Vision and Pattern Recognition Artificial intelligence business |
| Zdroj: | Journal of Advanced Computational Intelligence and Intelligent Informatics. 14:364-374 |
| ISSN: | 1883-8014 1343-0130 |
| Popis: | In real world environments where acoustic signals are contaminated with various noises, it is difficult to estimate the Signal-to-Noise Ratio (SNR) only from signals observed at microphones; the knowledge of acoustic transfer functions and original source signals is inevitable for SNR estimation. The present paper proposes a method to estimate SNR approximately in the real world environments without the knowledge of transfer functions and source signals: SNR is estimated after application of Independent Component Analysis (ICA) to the signals observed at microphones. Our proposed method also works as a speech segment detector since detection of speech segments are necessarily carried out in the course of SNR estimation. From several experimental results, the proposed method has been confirmed to be valid. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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