Non-intrusive Speech Intelligibility Prediction of Speech with Additive Noise and Reverberation Using Multiple Deep Learning-Based Speech Enhancement.
Kazushi NakazawaKazuhiro KondoPublished in: GCCE (2023)
Keyphrases
- speech enhancement
- additive noise
- speech signal
- signal to noise ratio
- linear prediction
- deep learning
- noisy environments
- speech recognition
- noise reduction
- vocal tract
- single channel
- wiener filter
- image coding
- sound source
- noisy images
- prediction error
- maximum likelihood
- non stationary
- spatial domain
- background noise
- smoothing algorithm
- multi channel
- machine learning
- random variables
- automatic speech recognition
- low resolution
- unsupervised learning
- edge detection
- hidden markov models