Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings.
Miguel AngrickChristian HerffGarett D. JohnsonJerry J. ShihDean J. KrusienskiTanja SchultzPublished in: Neurocomputing (2019)
Keyphrases
- convolutional neural networks
- speech signal
- spontaneous speech
- automatic speech recognition
- audio visual
- acoustic features
- speech recognition
- convolutional network
- pattern analysis
- regression model
- audio recordings
- single channel
- regression analysis
- linear regression
- regression problems
- broadcast news
- wigner distribution
- speech synthesis
- spoken language
- text to speech
- spoken document retrieval
- dialogue system
- emotion recognition
- gaussian processes
- model selection
- regression algorithm
- noisy environments
- high level
- multi channel
- energy distribution
- multi modal
- language model
- feature extraction