Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths.
Carla AgurtoMary PietrowiczRaquel NorelElif K. EyigözEmma StanislawskiGuillermo A. CecchiCheryl CorcoranPublished in: EMBC (2020)
Keyphrases
- high risk
- prosodic features
- speech recognition
- speech synthesis
- text to speech
- text to speech synthesis
- speech recognition systems
- speaker verification
- speaker independent
- risk factors
- speech signal
- spontaneous speech
- automatic speech recognition
- speech sounds
- acoustic models
- prostate cancer
- acoustic features
- emotional speech
- noisy environments
- speech segments
- hidden markov models
- language model
- acoustic signal
- emotion recognition
- audio visual
- statistical model
- software development
- image registration
- image analysis