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Silent speech interfaces for speech restoration: A review
This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-
acoustic biosignals generated by the human body during speech production to enable …
acoustic biosignals generated by the human body during speech production to enable …
Biosignal sensors and deep learning-based speech recognition: A review
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …
intentions as a human being. There are several causes of voice inability, including disease …
Improving image autoencoder embeddings with perceptual loss
Autoencoders are commonly trained using element-wise loss. However, element-wise loss
disregards high-level structures in the image which can lead to embeddings that disregard …
disregards high-level structures in the image which can lead to embeddings that disregard …
Ultrasound-based articulatory-to-acoustic map** with WaveGlow speech synthesis
Exploring silent speech interfaces based on frequency-modulated continuous-wave radar
Speech is our most natural and efficient form of communication and offers a strong potential
to improve how we interact with machines. However, speech communication can sometimes …
to improve how we interact with machines. However, speech communication can sometimes …
[HTML][HTML] Optimizing the ultrasound tongue image representation for residual network-based articulatory-to-acoustic map**
Within speech processing, articulatory-to-acoustic map** (AAM) methods can apply
ultrasound tongue imaging (UTI) as an input.(Micro) convex transducers are mostly used …
ultrasound tongue imaging (UTI) as an input.(Micro) convex transducers are mostly used …
[HTML][HTML] Deep learning classification of reading disability with regional brain volume features
Developmental reading disability is a prevalent and often enduring problem with varied
mechanisms that contribute to its phenotypic heterogeneity. This mechanistic and …
mechanisms that contribute to its phenotypic heterogeneity. This mechanistic and …
Autoencoding improves pre-trained word embeddings
Prior work investigating the geometry of pre-trained word embeddings have shown that word
embeddings to be distributed in a narrow cone and by centering and projecting using …
embeddings to be distributed in a narrow cone and by centering and projecting using …
A systematic review of the application of machine learning techniques to ultrasound tongue imaging analysis
Z **a, R Yuan, Y Cao, T Sun, Y **ong… - The Journal of the …, 2024 - pubs.aip.org
B-mode ultrasound has emerged as a prevalent tool for observing tongue motion in speech
production, gaining traction in speech therapy applications. However, the effective analysis …
production, gaining traction in speech therapy applications. However, the effective analysis …
Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network
Silent speech interfaces (SSIs) have emerged as innovative non-acoustic communication
methods, and our previous study demonstrated the significant potential of three-axis …
methods, and our previous study demonstrated the significant potential of three-axis …