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eess.AS2026

An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production

Jihwan Lee, Parsa Razmara, Kevin Huang +16

Speech production is a complex process spanning neural planning, motor control, muscle activation, and articulatory kinematics. While the acoustic speech signal is the most accessi…

eess.AS2026

Affect Decoding in Phonated and Silent Speech Production from Surface EMG

Simon Pistrosch, Kleanthis Avramidis, Zhao Ren +7

The expression of affect is integral to spoken communication, yet, its link to underlying articulatory execution remains unclear. Measures of articulatory muscle activity such as E…

eess.AS2026

Reconstruct! Don't Encode: Self-Supervised Representation Reconstruction Loss for High-Intelligibility and Low-Latency Streaming Neural Audio Codec

Junhyeok Lee, Xiluo He, Jihwan Lee +6

Neural audio codecs optimized for mel-spectrogram reconstruction often fail to preserve intelligibility. While semantic encoder distillation improves encoded representations, it do…

eess.AS2026

ARTI-6: Towards Six-dimensional Articulatory Speech Encoding

Jihwan Lee, Sean Foley, Thanathai Lertpetchpun +6

We propose ARTI-6, a compact six-dimensional articulatory speech encoding framework derived from real-time MRI data that captures crucial vocal tract regions including the velum, t…

eess.AS2025

On the Relationship between Accent Strength and Articulatory Features

Kevin Huang, Sean Foley, Jihwan Lee +3

This paper explores the relationship between accent strength and articulatory features inferred from acoustic speech. To quantify accent strength, we compare phonetic transcription…

eess.AS2025

Articulatory Feature Prediction from Surface EMG during Speech Production

Jihwan Lee, Kevin Huang, Kleanthis Avramidis +6

We present a model for predicting articulatory features from surface electromyography (EMG) signals during speech production. The proposed model integrates convolutional layers and…