Speech recognition in artificial intelligence is the technology that enables computers to recognize and transcribe human speech so that people can interact with computers using spoken language, rather than having to type the text.
Speech recognition works by converting spoken words into digital data and then using machine learning algorithms to analyze and transcribe that data. The system first breaks down the spoken words into individual sounds, and then matches those sounds to words in its database. It then uses the context and grammar rules of a given language to transcribe the spoken words into written text.
For example, when you use a virtual assistant such as Siri or Alexa, speech recognition technology transcribes your spoken commands into text that the computer can understand and act upon. Additionally, a speech recognition system might be used in a call center to transcribe customer service calls and provide a written record of the conversation.
A natural language is a language used as a native tongue by a group of speakers, such as English, Spanish, Mandarin, etc.
Semantics in AI refers to the meaning behind words and sentences and how computers understand that meaning.
Text-to-Speech Translation (TTS)
Text-to-speech (TTS) is a technology that converts written text into lifelike speech.