Non-intrusive quality assessment for enhanced speech signals based on spectro-temporal features.
Qiaohong LiYuming FangWeisi LinDaniel ThalmannPublished in: ICME Workshops (2014)
Keyphrases
- quality assessment
- speech signal
- speech recognition
- automatic speech recognition
- noisy environments
- image quality
- automatic speech recognition systems
- vocal tract
- video quality
- non stationary
- human visual system
- data quality
- hidden markov models
- image quality assessment
- speech enhancement
- computer vision
- speech quality
- sound signals
- pattern recognition
- quality metrics
- databases
- speech sounds
- post treatment
- video quality assessment
- data mining
- video sequences
- image data
- visual quality
- visual information