Speech recognition in AI refers to the technology that enables computers to convert spoken language into text. Also known as automatic speech recognition (ASR), this process involves the use of machine learning algorithms to decipher spoken words and phrases and transcribe them into a textual format that computers can understand and process. The goal of speech recognition is to bridge the gap between human communication and machine interaction, allowing users to interact with technology using naturally spoken language.
Speech recognition is a vital component of various AI applications, including virtual assistants, voice-enabled devices, transcription services, and more. The technology involves complex processes such as acoustic modeling, language modeling, and probabilistic calculations to accurately convert spoken words into text. ASR systems are trained on large amounts of audio data to learn the patterns and variations in speech sounds, enabling them to recognize and interpret spoken language across different accents, dialects, and languages.
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