Speech Segregation in Background Noise Based on Deep Learning.
Joseph Bamidele AwotundeRoseline Oluwaseun OgundokunFemi Emmanuel AyoOpeyemi Emmanuel MatilukoPublished in: IEEE Access (2020)
Keyphrases
- background noise
- deep learning
- speech signal
- noisy environments
- speech recognition
- speech enhancement
- unsupervised learning
- unsupervised feature learning
- speech quality
- automatic speech recognition
- machine learning
- low contrast
- weakly supervised
- hidden markov models
- non stationary
- adaptive filtering
- mental models
- noise reduction
- pattern recognition
- language model
- object recognition
- neural network