Noise compensation for speech recognition using probabilistic models.
John N. HolmesNigel C. SedgwickPublished in: ICASSP (1986)
Keyphrases
- probabilistic model
- graphical models
- noisy environments
- speech recognition
- language model
- latent variables
- noisy data
- random noise
- speech enhancement
- speech synthesis
- bayesian inference
- noise level
- signal to noise ratio
- expectation maximization
- noise free
- data sets
- additive noise
- arbitrary shape
- speech signal
- conditional random fields
- input data
- recognition engine
- endpoint detection
- dialogue system
- noise model
- noise removal
- gaussian noise
- hidden variables
- missing data
- generative model
- bayesian networks
- search engine