Braille learning device and working method
A learning device and braille technology, applied in the field of braille learning, can solve problems such as learning, inability to help blind people, limited number of braille buttons, etc., and achieve the effect of reducing costs and saving the number of uses
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Embodiment 1
[0059] This embodiment discloses a braille learning device, which is used to assist the visually impaired to learn braille faster and more efficiently, such as figure 1 As shown in , the device includes an embedded control system, a speech input unit, a speech playback unit and a braille learning board.
[0060] In this implementation, the voice input unit is connected to the embedded control system, and is used to send the collected voice information to the embedded control system; in this embodiment, the voice input unit can be a microphone connected to the embedded control system. Capable of inputting voice signals to an embedded control system.
[0061] In this embodiment, the embedded control system is connected to the Braille learning board for converting the received voice information into text information and converting the text information into Braille information, and for controlling the Braille learning board to move through the raised and lowered bumps according to...
Embodiment 2
[0081] This embodiment discloses a working method of the Braille learning device described in Embodiment 1, such as Figure 6 As shown, the steps include:
[0082] S1. The Raspberry Pi in the embedded control system recognizes the voice information collected from the voice input unit through voice recognition technology, and converts the voice information into text information.
[0083] In this embodiment, the voice recognition technology of machine learning can be used to recognize the recording of words that users need to learn by themselves and convert them into text. Specifically: first use Fourier transform to decompose the sound wave, and superimpose the energy contained in each frequency band on the Together, input it into the LSTM, and the LSTM neural network maps the audio to the corresponding syllable, and then forms the syllable into a text.
[0084] In this embodiment, for the voice information collected by the voice input unit, the embedded control system page ca...
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