![]() This step is important for ensuring that the robot generates a grammatically correct and coherent speech output. In the language modeling step, the robot uses a language model to determine the most likely sequence of words and sentences in the input text, based on the syntax, grammar, and semantics of the language. This step may also involve the use of natural language processing (NLP) algorithms, to identify the semantic meaning of the words and sentences, and to generate a logical and coherent speech output. In the text processing step, the robot analyzes the input text to identify the words and sentences, and to determine the appropriate pronunciation and stress patterns for each word. ![]() Speech synthesis in robots typically involves several steps, including text processing, language modeling, and speech synthesis. This technology allows robots to convert written or typed text into spoken words, using a combination of artificial intelligence (AI) algorithms and computer-generated speech sounds. Speech synthesis in robots refers to the ability of a robot to generate human-like speech using text-to-speech (TTS) technology.
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