Recognition of acoustic noise mixtures by combined bottom-up and top-down processing.
Jukka SillanpaaAnssi KlapuriJarno SeppänenTuomas VirtanenPublished in: EUSIPCO (2000)
Keyphrases
- object recognition
- recognition rate
- pattern recognition
- noisy data
- data processing
- recognition accuracy
- noisy speech
- anti noise
- speech recognition
- visual recognition
- real time
- signal to noise ratio
- random noise
- missing data
- noise level
- noise reduction
- source localization
- visual processing
- automatic recognition
- recognition algorithm
- human activities
- information processing
- neural network
- speech recognition systems
- heavy tailed
- hidden markov models
- recognition process
- image processing
- activity recognition
- visual features
- feature extraction