Residual noise compensation by a sequential EM algorithm for robust speech recognition in nonstationary noise.
Kaisheng YaoBertram E. ShiSatoshi NakamuraZhigang CaoPublished in: INTERSPEECH (2000)
Keyphrases
- speech recognition
- noisy environments
- em algorithm
- non stationary
- expectation maximization
- mixture model
- gaussian mixture model
- maximum likelihood
- hidden markov models
- speaker identification
- language model
- speech signal
- missing data
- noise reduction
- background noise
- probabilistic model
- pattern recognition
- machine learning
- noise model
- speech enhancement
- expectation maximisation
- noisy speech
- probability density function
- noise level
- density estimation
- signal to noise ratio
- maximum a posteriori
- generative model
- maximum likelihood estimation
- automatic speech recognition
- random fields
- speech synthesis
- speech recognizer
- image processing
- information retrieval