Discriminative feature extraction for speech recognition in noise.
Ángel de la TorreAntonio M. PeinadoAntonio J. RubioPedro García-TeodoroPublished in: EUROSPEECH (1997)
Keyphrases
- speech recognition
- feature extraction
- noisy environments
- pattern recognition
- cepstral coefficients
- noisy speech
- speaker identification
- speech signal
- hidden markov models
- language model
- automatic speech recognition
- speech recognition systems
- background noise
- feature selection
- image processing
- additive noise
- image classification
- speech recognizer
- speech synthesis
- speech processing
- speech retrieval
- feature vectors
- speech recognition technology
- noise level
- principal component analysis
- noise reduction
- frequency domain
- face recognition
- extracted features
- semi supervised
- signal to noise ratio
- speech enhancement
- acoustic models
- neural network
- keyword spotting
- feature space
- wavelet transform
- noise model
- edge detection
- maximum likelihood