Abstract
In this paper, a general class of "single-hidden layered, feedforward" Artificial Neural Network (ANN) based adaptive non-linear filters is proposed for processing band-limited signals in a multi-microphone sub-band adaptive speech-enhancement scheme. Initial comparative results achieved in simulation experiments using both simulated and real automobile reverberant data demonstrate that the proposed speech-enhancement system employing ANN-based sub-band processing is capable of outperforming conventional noise cancellation schemes.
| Original language | English |
|---|---|
| Pages (from-to) | 177-186 |
| Number of pages | 10 |
| Journal | Speech Communication |
| Volume | 25 |
| Issue number | 1-3 |
| DOIs | |
| State | Published - Aug 1998 |
| Externally published | Yes |
Keywords
- Adaptive speech enhancement
- Artificial neural networks
- Sub-band processing
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Communication
- Language and Linguistics
- Linguistics and Language
- Computer Vision and Pattern Recognition
- Computer Science Applications
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