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Electronic fluency devices can be divided into two basic categories: Computerized feedback devices provide feedback on the physiological control of respiration and phonation, including loudness, vocal intensity and breathing patterns. [1] Altered auditory feedback (AAF) devices alter the speech signal so that speakers hear their voices differently.
The use of synthesized speech has increased due to the creation of software that takes advantage of the user's existing computers and smartphones. AAC apps like Spoken or Avaz are available on Android and iOS, providing a way to use a speech-generating device without having to visit a doctor's office or learn to use specialized machinery. In ...
Such devices are known as speech generating devices (SGD) or voice output communication aids (VOCA). [36] A device's speech output may be digitized and/or synthesized: digitized systems play recorded words or phrases and are generally more intelligible while synthesized speech uses text-to-speech software that can be harder to understand but ...
Subvocal recognition (SVR) is the process of taking subvocalization and converting the detected results to a digital output, aural or text-based. [1] A silent speech interface is a device that allows speech communication without using the sound made when people vocalize their speech sounds.
Linear predictive coding (LPC) is a speech coding method used in speaker recognition and speech verification. [citation needed] Ambient noise levels can impede both collections of the initial and subsequent voice samples. Noise reduction algorithms can be employed to improve accuracy, but incorrect application can have the opposite effect.
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
The most common device is a handheld, battery-operated device pressed against the skin under the mandible which produces vibrations to allow speech; [1] other variations include a device similar to the "talk box" electronic music device, which delivers the basis of the speech sound via a tube placed in the mouth. [2]