Conformer with bi-LSTM improves perceived naturalness of ultrasound-to-speech synthesis over a 2D-CNN baseline, while Conformer Base matches the baseline with faster training.
Towards optimizing electrode configurations for silent speech recognition based on high-density surface electromyography,
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Conformer-based Ultrasound-to-Speech Conversion
Conformer with bi-LSTM improves perceived naturalness of ultrasound-to-speech synthesis over a 2D-CNN baseline, while Conformer Base matches the baseline with faster training.