Assessment of Syllable Intelligibility Based on Convolutional Neural Networks for Speech Rehabilitation After Speech Organs Surgical Interventions.
Evgeny KostuchenkoDariya NovokhrestovaSvetlana PekarskikhAlexander Alexandrovich ShelupanovMikhail Nemirovich-DanchenkoEvgeny L. ChoynzonovLidiya N. BalatskayaPublished in: SPECOM (2019)
Keyphrases
- speech recognition
- speech signal
- convolutional neural networks
- speech synthesis
- text to speech
- prosodic features
- medical images
- endpoint detection
- automatic speech recognition
- spoken language
- audio visual
- broadcast news
- synthesized speech
- dialogue system
- language acquisition
- recognition engine
- speaker identification
- multiresolution
- emotion recognition
- intraoperative
- coarse to fine
- hidden markov models