EEG-to-F0: Establishing Artificial Neuro-Muscular Pathway For Kinematics-Based Fundamental Frequency Control
The fundamental frequency (F0) of human voice is generally controlled by changing the vocal fold parameters (including tension, length and mass), which in turn is manipulated by the muscle exciters, activated by the neural synergies. In order to begin investigating the neuromuscular F0 control pathway, we simulate a simple biomechanical arm prototype (instead of an artificial vocal tract) that tends to control F0 of an artificial sound synthesiser based on the elbow movements. The intended arm movements are decoded from the EEG signal inputs (collected simultaneously with the kinematic hand data of the participant) through a combined machine learning and biomechanical modeling strategy. The machine learning model is employed to identify the muscle activation of a single-muscle arm model in ArtiSynth (from input brain signal), in order to match the actual kinematic (elbow joint angle) data . The biomechanical model utilises this estimated muscle excitation to produce corresponding changes in elbow angle, which is then linearly mapped to F0 of a vocal sound synthesiser. We use the F0 value mapped from the actual kinematic hand data (via same function) as the ground truth and compare the F0 estimated from brain signal. A detailed qualitative and quantitative performance comparison shows that the proposed neuromuscular pathway can indeed be utilised to accurately control the vocal fundamental frequency, thereby demonstrating the success of our closed loop neuro-biomechanical control scheme.
How to Cite
Copyright on articles is held by the author(s). The corresponding author has the right to grant on behalf of all authors and does grant on behalf of all authors, a worldwide exclusive licence (or non-exclusive license for government employees) to the Publishers and its licensees in perpetuity, in all forms, formats and media (whether known now or created in the future)
i) to publish, reproduce, distribute, display and store the Contribution;
ii) to translate the Contribution into other languages, create adaptations, reprints, include within collections and create summaries, extracts and/or, abstracts of the Contribution;
iii) to exploit all subsidiary rights in the Contribution,
iv) to provide the inclusion of electronic links from the Contribution to third party material where-ever it may be located;
v) to licence any third party to do any or all of the above.