Word Error Rate Comparison between Single and Double Radar Solutions for Silent Speech Recognition

Lee, Sunghwa; Seo, Jiwon

doi:10.23919/iccas47443.2019.8971653

“…The combination of video and ultrasound imaging to capture the movement of the intraoral articulators (the tongue, mainly) has achieved promising results in the context of SSI research [18], [20]. Radar sensors have also been investigated in the context of SSI research as a promising alternative to capture articulator motion data [266], [267]. In this subsection, we focus on imaging techniques that are suitable for speech recognition/synthesis in the absence of the acoustic speech signal.…”

Section: ) Imaging Techniquesmentioning

confidence: 99%

Silent Speech Interfaces for Speech Restoration: A Review

Gonzalez-Lopez

¹

,

Gomez-Alanis

²

,

Donas

³

et al. 2020

View full text Add to dashboard Cite

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 communication whenever normal verbal communication is not possible or not desirable. In this review, we focus on the first case and present latest SSI research aimed at providing new alternative and augmentative communication methods for persons with severe speech disorders. SSIs can employ a variety of biosignals to enable silent communication, such as electrophysiological recordings of neural activity, electromyographic (EMG) recordings of vocal tract movements or the direct tracking of articulator movements using imaging techniques. Depending on the disorder, some sensing techniques may be better suited than others to capture speech-related information. For instance, EMG and imaging techniques are well suited for laryngectomised patients, whose vocal tract remains almost intact but are unable to speak after the removal of the vocal folds, but fail for severely paralysed individuals. From the biosignals, SSIs decode the intended message, using automatic speech recognition or speech synthesis algorithms. Despite considerable advances in recent years, most present-day SSIs have only been validated in laboratory settings for healthy users. Thus, as discussed in this paper, a number of challenges remain to be addressed in future research before SSIs can be promoted to real-world applications. If these issues can be addressed successfully, future SSIs will improve the lives of persons with severe speech impairments by restoring their communication capabilities.

show abstract

“…The combination of video and ultrasound imaging to capture the movement of the intraoral articulators (the tongue, mainly) has achieved promising results in the context of SSI research [18], [20]. Radar sensors have also been investigated in the context of SSI research as a promising alternative to capture articulator motion data [266], [267]. In this subsection, we focus on imaging techniques that are suitable for speech recognition/synthesis in the absence of the acoustic speech signal.…”

Section: Articulator Motion Capturementioning

confidence: 99%

Silent Speech Interfaces for Speech Restoration: A Review

Gonzalez-Lopez,

Gomez-Alanis,

Martín-Doñas

et al. 2020

Preprint

0

View full text Add to dashboard Cite

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 communication whenever normal verbal communication is not possible or not desirable. In this review, we focus on the first case and present latest SSI research aimed at providing new alternative and augmentative communication methods for persons with severe speech disorders. SSIs can employ a variety of biosignals to enable silent communication, such as electrophysiological recordings of neural activity, electromyographic (EMG) recordings of vocal tract movements or the direct tracking of articulator movements using imaging techniques. Depending on the disorder, some sensing techniques may be better suited than others to capture speech-related information. For instance, EMG and imaging techniques are well suited for laryngectomised patients, whose vocal tract remains almost intact but are unable to speak after the removal of the vocal folds, but fail for severely paralysed individuals. From the biosignals, SSIs decode the intended message, using automatic speech recognition or speech synthesis algorithms. Despite considerable advances in recent years, most present-day SSIs have only been validated in laboratory settings for healthy users. Thus, as discussed in this paper, a number of challenges remain to be addressed in future research before SSIs can be promoted to real-world applications. If these issues can be addressed successfully, future SSIs will improve the lives of persons with severe speech impairments by restoring their communication capabilities.

show abstract

Human-inspired computational models for European Portuguese: a review

Teixeira

¹

,

Silva

²

2023

Lang Resources & Evaluation

0

View full text Add to dashboard Cite

This paper surveys human-inspired speech technologies developed for European Portuguese and the computational models they integrate and made them possible. In this regard, it covers systems for synthesis and recognition as well as information on the methods adopted for the speech production studies that were performed, in parallel, to support them. And, on doing so, it can also contribute to provide an entry point for those who work in the field but are not familiar with these particular areas, including: context, history, and comprehensive references. As the great majority of work in these areas for European Portuguese was done by the first author’s research group, this paper can also be seen as a review of more than 25 years of research at University of Aveiro in these topics.

show abstract

Word Error Rate Comparison between Single and Double Radar Solutions for Silent Speech Recognition

Cited by 5 publications

References 23 publications

Silent Speech Interfaces for Speech Restoration: A Review

Silent Speech Interfaces for Speech Restoration: A Review

Silent Speech Interfaces for Speech Restoration: A Review

Human-inspired computational models for European Portuguese: a review

Contact Info

Product

Resources

About