By João Freitas, António Teixeira, Miguel Sales Dias, Samuel Silva
This e-book offers a wide and complete review of the prevailing technical techniques within the region of silent speech interfaces (SSI), either in conception and in program. each one process is defined within the context of the human speech creation strategy, permitting the reader to obviously comprehend the rules at the back of SSI more often than not and throughout various tools. also, the ebook explores the mixed use of other facts assets, gathered from numerous sensors, with the intention to take on the restrictions of less complicated SSI ways, addressing present demanding situations of this box. The e-book additionally presents information regarding current SSI functions, assets and an easy educational on the best way to construct an SSI.
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Additional info for An Introduction to Silent Speech Interfaces
After this estimation, suitable features can be extracted. Studies indicate that the majority of the systems that use multiple simultaneous input channels such as audio plus video have a better performance than systems that depend on a single visual or audio only channel (Yaling et al. 2010). This has revealed to be true for several languages, such as English, French, German, Japanese, and Portuguese; and for various cases such as nonsense words, isolated words, connected digits, letters, continuous speech, and degradation due to speech impairments (Potamianos et al.
Total locked-in syndrome) and do not make sense for simply tackling noisy environments. It all comes down to what the human–computer interface user is capable or is willing to use. As technology evolves, approaches like ECoG may no longer be necessary in the future, if similar results are obtained of modalities such as EEG. In the next chapter, we will study ways to extract relevant information not only from the myoelectric signal but also from the resulting articulators’ movement, bearing in mind that not all movements occur in the sight of the human eye.
In this case, a moving body with a speed v (positive when the object is moving towards the emitter/receiver) reflects an ultrasound wave whose frequency is measured by a receiver placed closely to the emitter. 3) Considering c = 340m / s as the sound air speed, a maximum articulator speed of 1 m/s and a 40 kHz ultrasound primary wave, the maximum frequency shift will be 235 Hz. UDS of speech is one of the approaches reported in the literature that is also suitable for implementing an SSI (Srinivasan et al.