1 citations · 1 across the 7 of their papers we have counts for
8 papers
PhonoBridge: Error-Aware Phoneme-Mediated EMG-to-Text Reconstruction
Wen Qiu, Jiacheng Zhang, Xuanda Chen +2
Electromyography (EMG) provides a non-invasive means of decoding silently articulated speech into text, but accurate decoding remains challenging due to limited availability of pai…
Decoding Listeners Identity: Person Identification from EEG Signals Using a Lightweight Spiking Transformer
Zheyuan Lin, Siqi Cai, Haizhou Li
EEG-based person identification enables applications in security, personalized brain-computer interfaces (BCIs), and cognitive monitoring. However, existing techniques often rely o…
A Robust Multi-Scale Framework with Test-Time Adaptation for sEEG-Based Speech Decoding
Suli Wang, Yang-yang Li, Siqi Cai +1
Decoding speech from stereo-electroencephalography (sEEG) signals has emerged as a promising direction for brain-computer interfaces (BCIs). Its clinical applicability, however, is…
WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Ziyi Zeng, Zhenyang Cai, Yixi Cai +8
Electroencephalography (EEG) interpretation using multimodal large language models (MLLMs) offers a novel approach for analyzing brain signals. However, the complex nature of brain…
SM-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
Jiaqi Wang, Zhengyu Ma, Xiongri Shen +7
Auditory attention detection (AAD) aims to decode listeners' focus in complex auditory environments from electroencephalography (EEG) recordings, which is crucial for developing ne…
NeuroSpex: Neuro-Guided Speaker Extraction with Cross-Modal Attention
Dashanka De Silva, Siqi Cai, Saurav Pahuja +2
In the study of auditory attention, it has been revealed that there exists a robust correlation between attended speech and elicited neural responses, measurable through electroenc…
EEG-Derived Voice Signature for Attended Speaker Detection
Hongxu Zhu, Siqi Cai, Yidi Jiang +2
\textit{Objective:} Conventional EEG-based auditory attention detection (AAD) is achieved by comparing the time-varying speech stimuli and the elicited EEG signals. However, in ord…
NeuroHeed: Neuro-Steered Speaker Extraction using EEG Signals
Zexu Pan, Marvin Borsdorf, Siqi Cai +2
Humans possess the remarkable ability to selectively attend to a single speaker amidst competing voices and background noise, known as selective auditory attention. Recent studies…