Data-driven temporal filters for robust features in speech recognition obtained via Minimum Classification Error (MCE).
Jeih-Weih HungLin-Shan LeePublished in: ICASSP (2002)
Keyphrases
- speech recognition
- minimum classification error
- data driven
- hidden markov models
- speech recognition systems
- noisy environments
- automatic speech recognition
- discriminative training
- language model
- cepstral coefficients
- feature vectors
- speaker identification
- speech synthesis
- speech recognizer
- speech signal
- pattern recognition
- statistical pattern recognition
- computer vision
- classification error
- data mining
- feature space
- gaussian mixture
- information extraction
- classification accuracy
- mel frequency cepstral coefficients
- feature extraction
- machine learning