Acoustic model training using feature vectors generated by manipulating speech parameters of real speakers.
Tetsuto KawaiNorihide KitaokaKazuya TakedaPublished in: APSIPA (2012)
Keyphrases
- feature vectors
- speech recognition
- training set
- hearing impaired
- parameter space
- maximum likelihood
- speaker dependent
- cepstral coefficients
- euclidean distance
- supervised learning
- test set
- kullback leibler distance
- hidden markov models
- parameter values
- training process
- spoken language
- rotation invariant
- computer vision
- speech synthesis
- radial basis function network
- automatic speech recognition
- training algorithm
- support vector machine
- subband
- parameter estimation
- online learning
- feature set