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Hidden Markov Model and Deep Neural Network-Hidden Markov Model speech recognition performance for a portable ultrasound + video multimodal silent speech interface is investigated using Discrete Cosine Transform and Deep Auto Encoder-based features with a range of dimensionalities. Experimental results show that the two types of features achieve similar Word Error Rate, but that the autoencoder features...
Tracking the movement of the tongue is important for understanding how tongue shape change contributes to speech production and control. Ultrasound imaging is widely used to record real time information on the tongue surface; however, noise, artefacts, and the presence of spurious edges render automatic detection of tongue contours without manual initialization difficult. In this paper, we propose...
The article describes a system that uses real time measurements of the vocal tract to drive a voice-replacement system for post-laryngectomy patients. Based on a thermoformed acquisition helmet, miniature ultrasound machine, and video camera, and incorporating Hidden Markov Model speech recognition, the device has been tested on three speakers, one of whom has undergone a total laryngectomy. Results...
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