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Handsfree speech communication devices face low signal-to-noise ratios, necessitating effective front-end signal processing. This includes using a beamformer with known microphone positions, enhanced by the orthogonal geometric projection for low user effort. A novel change prediction technique allows a single acoustic echo canceller to replace multiple ones, while a dual-stage multi-channel Kalman algorithm addresses nonlinear effects in consumer devices. Performance is tested in realistic scenarios.
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Front-End Signal Processing for Far-Field Speech Communication, Matthias Schrammen
- Language
- Released
- 2022
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Front-End Signal Processing for Far-Field Speech Communication
- Language
- English
- Authors
- Matthias Schrammen
- Publisher
- Shaker
- Released
- 2022
- Format
- Paperback
- Pages
- 208
- ISBN13
- 9783844088090
- Series
- Tags
- Non-Fiction
- Description
- Handsfree speech communication devices face low signal-to-noise ratios, necessitating effective front-end signal processing. This includes using a beamformer with known microphone positions, enhanced by the orthogonal geometric projection for low user effort. A novel change prediction technique allows a single acoustic echo canceller to replace multiple ones, while a dual-stage multi-channel Kalman algorithm addresses nonlinear effects in consumer devices. Performance is tested in realistic scenarios.