Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach-Reference-Cited by-同舟云学术

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Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Angrick Miguel¹,Ottenhoff Maarten²,Diener Lorenz¹,Ivucic Darius¹,Ivucic Gabriel¹,Goulis Sophocles²,Colon Albert J.³,Wagner Louis³,Krusienski Dean J.⁴,Kubben Pieter L.²,Schultz Tanja¹,Herff Christian²

Affiliation:

1. University of Bremen,Cognitive Systems Lab,Bremen,Germany

2. Maastricht University,School of Mental Health and Neurosciences,Maastricht,Netherlands

3. Epilepsy Center Kempenhaeghe,Kempenhaeghe,Netherlands

4. Virginia Commonwealth University,ASPEN Lab,Richmond,VA,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747300.pdf?arnumber=9747300

Reference22 articles.

1. Towards reconstructing intelligible speech from the human auditory cortex

2. Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface

3. The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions

4. Unit selection in a concatenative speech synthesis system using a large speech database

5. Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity

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4. A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis;2023-09-17

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