Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning.
IEEE/ACM Transactions on Audio, Speech, and Language Processing(2017)
Abstract
This paper describes a technique that generates speech acoustics from articulator movements. Our motivation is to help people who can no longer speak following laryngectomy, a procedure that is carried out tens of thousands of times per year in the Western world. Our method for sensing articulator movement, permanent magnetic articulography, relies on small, unobtrusive magnets attached to the lip...
MoreTranslated text
Key words
Biology,Speech recognition,Machine learning,Acoustics,Magnetacoustic effects,Recurrent neural networks,Real-time systems,Sensors
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined