Speech rhythms and their neural foundations
D Poeppel, MF Assaneo - Nature reviews neuroscience, 2020 - nature.com
The recognition of spoken language has typically been studied by focusing on either words
or their constituent elements (for example, low-level features or phonemes). More recently …
or their constituent elements (for example, low-level features or phonemes). More recently …
[HTML][HTML] Brain-computer interface: applications to speech decoding and synthesis to augment communication
Damage or degeneration of motor pathways necessary for speech and other movements, as
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …
Speech synthesis from neural decoding of spoken sentences
Technology that translates neural activity into speech would be transformative for people
who are unable to communicate as a result of neurological impairments. Decoding speech …
who are unable to communicate as a result of neurological impairments. Decoding speech …
Biosignal-based spoken communication: A survey
Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …
Silent speech interfaces for speech restoration: A review
JA Gonzalez-Lopez, A Gomez-Alanis… - IEEE …, 2020 - ieeexplore.ieee.org
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 …
Survey on automatic lip-reading in the era of deep learning
A Fernandez-Lopez, FM Sukno - Image and Vision Computing, 2018 - Elsevier
In the last few years, there has been an increasing interest in developing systems for
Automatic Lip-Reading (ALR). Similarly to other computer vision applications, methods …
Automatic Lip-Reading (ALR). Similarly to other computer vision applications, methods …
SottoVoce: An ultrasound imaging-based silent speech interaction using deep neural networks
The availability of digital devices operated by voice is expanding rapidly. However, the
applications of voice interfaces are still restricted. For example, speaking in public places …
applications of voice interfaces are still restricted. For example, speaking in public places …
[HTML][HTML] The potential for a speech brain–computer interface using chronic electrocorticography
A brain–computer interface (BCI) is a technology that uses neural features to restore or
augment the capabilities of its user. A BCI for speech would enable communication in real …
augment the capabilities of its user. A BCI for speech would enable communication in real …
Exploring cognition with brain–machine interfaces
Traditional brain–machine interfaces decode cortical motor commands to control external
devices. These commands are the product of higher-level cognitive processes, occurring …
devices. These commands are the product of higher-level cognitive processes, occurring …
Differential representation of articulatory gestures and phonemes in precentral and inferior frontal gyri
Speech is a critical form of human communication and is central to our daily lives. Yet,
despite decades of study, an understanding of the fundamental neural control of speech …
despite decades of study, an understanding of the fundamental neural control of speech …