Text To Speech

Text Analysis: Text-to-speech systems begin by analyzing the input text to identify linguistic elements such as words, sentences, punctuation, and formatting. This analysis helps determine the pronunciation, intonation, and other prosodic features of the synthesized speech.
Phonetic Processing: The input text is converted into phonetic representations, which represent the sequence of speech sounds (phonemes) corresponding to the words in the text. Phonetic processing involves mapping written words to their phonetic transcriptions based on pronunciation rules and linguistic context.
Linguistic Processing: Text-to-speech systems apply linguistic rules and models to interpret the structure and meaning of the input text. This step includes tasks such as parsing sentences, identifying parts of speech, and applying grammatical rules to generate fluent and natural-sounding speech.
Acoustic Modeling: Acoustic models are used to synthesize speech sounds based on the phonetic representations of the input text. These models capture the relationship between linguistic features and acoustic properties of speech, such as pitch, duration, and timbre. Acoustic models can be based on concatenative synthesis, formant synthesis, or statistical parametric synthesis techniques.