Speech to text application

Designing devices using the latest technology makes Deaf individuals self-sufficient in their communication and reduces their dependence on support systems like a sign language interpreter and CART providers. Speech to Text application and Text to Speech supplies the Deaf individuals to communicate easily with non-hearing signers. Text to Speech applications are synthesized to write and translate into the voice. Using a speech to text application is an application which is designed to identify spoken language and turn it into text displayed on the screen using Automatic Speech Recognition (ASR). Speech to text technology works by picking the speech that is the first component of speech recognition. The speech recognition system has trained a single neural network to directly map an input audio waveform to an output sentence. (Koshtura, 2021) The application allows the users to use bilingual communication and text type back. It uses the customisable and adjustable text font and size, displays the theme and the text response on the text box. In addition, it gives good options for the user to save the transcriptions. It is provided with a few speech-to-text applications programs like Otter, Live Transcribe, and Ava.

Group conversations are ambiguous because they are not used as a microphone on the Deaf’s microphone and show the name of speakers, even so this is one good solution using AVA and Speaksee. The speaker’s speech is installed in the application and gathered using their phone’s microphone. It allows the Deaf individual to follow the conversation within a group, consequently their screen shows the name of the speaker displayed in the front of what the speaker is saying.

"Ava" utilizes captions to live transcribe voice to text to make it accessible for people using mobile devices.

"Speaksee," the first microphone system that quickly and accurately translates (group) discussions into text. Beam forming microphones guarantee excellent accuracy even in noisy environments.

Communication tools are the most important feature for both Deaf individuals and tourists. They are not perfectly accurate, because they depend on the speaker’s accents, clarity of speech, the time of conversation or gabble conversation, the quality of the microphone, and the level of background noise. It gets awkward and not appreciated by hearing individuals when Deaf individuals interrupt a conversation to ask or tell something. It is better to include a text to speech in the same application and ask them to speak normally, rather than in a speedy way.