Effect of Speech and Noise Cross Correlation on AMFCC Speech Recognition Features.
Benjamin J. ShannonKuldip K. PaliwalPublished in: ICASSP (4) (2007)
Keyphrases
- speech recognition
- cross correlation
- speech recognition systems
- noisy environments
- speech signal
- automatic speech recognition
- noisy speech
- speech synthesis
- hidden markov models
- spectral subtraction
- speech recognizer
- cepstral coefficients
- pattern recognition
- speech processing
- language model
- speech recognition technology
- frequency domain
- keyword spotting
- background noise
- speaker identification
- mutual information
- isolated word
- template matching
- feature set
- speaker independent
- mel frequency cepstral coefficients
- recognition engine
- speech recognition errors
- speaker dependent
- acoustic features
- speech enhancement
- feature vectors
- feature space
- word error rate
- speaker diarization
- machine learning
- speaker recognition
- speech retrieval
- image features
- feature extraction