A comparison of two strategies for ASR in additive noise: missing data and spectral subtraction.
Christopher KermorvantAndrew C. MorrisPublished in: EUROSPEECH (1999)
Keyphrases
- missing data
- additive noise
- speech signal
- automatic speech recognition
- speech recognition
- missing values
- noisy images
- spatial domain
- incomplete data
- vocal tract
- maximum likelihood
- non stationary
- noisy environments
- speech enhancement
- random variables
- wiener filter
- signal processing
- point spread function
- linear prediction
- image restoration
- image segmentation
- computer vision
- information retrieval
- neural network