Robust speech recognition in additive and channel noise environments using GMM and EM algorithm.
Masakiyo FujimotoYasuo ArikiPublished in: ICASSP (1) (2004)
Keyphrases
- em algorithm
- speech recognition
- noisy environments
- gaussian mixture model
- expectation maximization
- speaker identification
- mixture model
- maximum likelihood
- speaker recognition
- gaussian mixture
- hidden markov models
- speech signal
- generative model
- language model
- automatic speech recognition
- maximum likelihood estimation
- speech synthesis
- pattern recognition
- speech recognizer
- expectation maximisation
- voice activity detection
- background noise
- probabilistic principal component analysis
- speech recognition systems
- noise reduction
- density estimation
- noise level
- multi channel
- maximum a posteriori
- missing data
- probabilistic model
- speech enhancement
- data mining
- feature vectors
- speaker diarization
- unsupervised learning
- single channel
- probability density function