Automatic intelligibility assessment of pathologic speech in head and neck cancer based on auditory-inspired spectro-temporal modulations.
Xinhui ZhouDaniel Garcia-RomeroNima MesgaraniMaureen L. StoneCarol Y. Espy-WilsonShihab A. ShammaPublished in: INTERSPEECH (2012)
Keyphrases
- speech recognition
- lymph nodes
- spatio temporal
- fully automatic
- temporal information
- real time
- hidden markov models
- speech synthesis
- speech signal
- information processing
- signal processing
- semi automatic
- visual information
- signal to noise ratio
- temporal constraints
- temporal data
- temporal databases
- breast cancer
- text to speech
- hand movements
- lung cancer
- pattern recognition
- feature selection