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Hiroharu Suzuki

2 accepted papers

2023

Synthesizing Speech from ECoG with a Combination of Transformer-Based Encoder and Neural Vocoder

ICASSP 2023accepted

This paper reports on a novel invasive brain–computer interface (BCI) paradigm that has successfully reconstructed spoken sentences from invasive electrocorticogram (ECoG) signals using deep-neural-network-based encoders and a pre-trained neural vocoder. We recorded ECoG signals while 13 participant…

Cited by 0SourceScholar
2022

Transformer-Based Estimation of Spoken Sentences Using Electrocorticography

ICASSP 2022accepted

Invasive brain–machine interfaces (BMIs) are a promising neurotechnological venture for achieving direct speech communication from a human brain, but it faces many challenges. In this paper, we measured the invasive electrocorticogram (ECoG) signals from seven participating epilepsy patients as they…

Cited by 0SourceScholar