Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning.
Mahdi BarhoushAhmed HallawaArne PeineLukas MartinAnke SchmeinkPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2023)
Keyphrases
- meta learning
- deep learning
- noisy environments
- speech enhancement
- machine learning
- speech recognition
- learning tasks
- inductive learning
- vocal tract
- automatic speech recognition
- model selection
- unsupervised learning
- machine learning algorithms
- noise reduction
- decision trees
- data mining
- speech signal
- metamodel
- pattern recognition
- mental models
- real world
- weakly supervised
- feature selection
- audio visual
- multiple images
- base classifiers
- supervised learning
- image processing
- single channel
- data sets
- signal to noise ratio