STE-GAN: Speech-to-Electromyography Signal Conversion using Generative Adversarial Networks.
Kevin ScheckTanja SchultzPublished in: INTERSPEECH (2023)
Keyphrases
- signal processing
- generative model
- speech recognition
- high frequency
- non stationary
- noisy environments
- speech quality
- fundamental frequency
- automatic speech recognition
- complex networks
- computer networks
- hearing aids
- original signal
- network design
- speech signal
- audio visual
- neural network
- network structure
- frequency domain
- social networks
- structuring elements
- binary images
- ecg signals
- unsupervised learning
- recognition engine
- data driven
- bayesian networks
- acoustic signal