Non-linear predictive vector quantization of feature vectors for distributed speech recognition.
José Enrique García LaínezAlfonso OrtegaAntonio MiguelEduardo LleidaPublished in: INTERSPEECH (2010)
Keyphrases
- vector quantization
- speech recognition
- feature vectors
- speaker recognition
- cepstral coefficients
- image compression
- vector quantizer
- hidden markov models
- language model
- automatic speech recognition
- residual vector quantization
- speech synthesis
- speech recognition systems
- pattern recognition
- mel frequency cepstral coefficients
- speech signal
- speaker identification
- subband
- distortion measure
- speech recognizer
- noisy environments
- computer vision
- gaussian mixture model
- entropy constrained
- finite state vector quantization
- support vector machine
- feature space
- multiscale
- similarity measure
- image processing
- feature extraction