Generative adversarial networks in EEG analysis: an overview
Electroencephalogram (EEG) signals have been utilized in a variety of medical as well as
engineering applications. However, one of the challenges associated with recording EEG …
engineering applications. However, one of the challenges associated with recording EEG …
Generative adversarial networks for speech processing: A review
Generative adversarial networks (GANs) have seen remarkable progress in recent years.
They are used as generative models for all kinds of data such as text, images, audio, music …
They are used as generative models for all kinds of data such as text, images, audio, music …
Epilepsygan: Synthetic epileptic brain activities with privacy preservation
Epilepsy is a chronic neurological disorder affecting more than 65 million people worldwide
and manifested by recurrent unprovoked seizures. The unpredictability of seizures not only …
and manifested by recurrent unprovoked seizures. The unpredictability of seizures not only …
WESPER: Zero-shot and realtime whisper to normal voice conversion for whisper-based speech interactions
J Rekimoto - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
Recognizing whispered speech and converting it to normal speech creates many
possibilities for speech interaction. Because the sound pressure of whispered speech is …
possibilities for speech interaction. Because the sound pressure of whispered speech is …
Towards generalized speech enhancement with generative adversarial networks
The speech enhancement task usually consists of removing additive noise or reverberation
that partially mask spoken utterances, affecting their intelligibility. However, little attention is …
that partially mask spoken utterances, affecting their intelligibility. However, little attention is …
DualVoice: Speech Interaction That Discriminates between Normal and Whispered Voice Input
J Rekimoto - Proceedings of the 35th Annual ACM Symposium on …, 2022 - dl.acm.org
Interactions based on automatic speech recognition (ASR) have become widely used, with
speech input being increasingly utilized to create documents. However, as there is no easy …
speech input being increasingly utilized to create documents. However, as there is no easy …
Glottal flow synthesis for whisper-to-speech conversion
Whisper-to-speech conversion is motivated by laryngeal disorders, in which malfunction of
the vocal folds leads to loss of voicing. Many patients with laryngeal disorders can still …
the vocal folds leads to loss of voicing. Many patients with laryngeal disorders can still …
Pareto-Optimized Non-Negative Matrix Factorization Approach to the Cleaning of Alaryngeal Speech Signals
Simple Summary This paper introduces a new method for cleaning impaired speech by
combining Pareto-optimized deep learning with Non-negative Matrix Factorization (NMF) …
combining Pareto-optimized deep learning with Non-negative Matrix Factorization (NMF) …
Generative models for improved naturalness, intelligibility, and voicing of whispered speech
This work adapts two recent architectures of generative models and evaluates their
effectiveness for the conversion of whispered speech to normal speech. We incorporate the …
effectiveness for the conversion of whispered speech to normal speech. We incorporate the …
Generative adversarial networks for whispered to voiced speech conversion: a comparative study
Abstract Generative Adversarial Networks (GANs) have demonstrated promising results as
end-to-end models for whispered to voiced speech conversion. Leveraging non …
end-to-end models for whispered to voiced speech conversion. Leveraging non …