How Text-to-Speech Technology Converts Words Into Natural-Sounding Audio

Text-to-Speech (TTS) technology converts written text into spoken audio through a multi-stage pipeline. The process begins with text normalization, which standardizes input by expanding abbreviations and converting numbers into words, followed by phonetic transcription that maps text to basic sound units. A prosody generation stage then determines rhythm, stress, and intonation to make speech sound natural and expressive. The final stage, waveform synthesis, produces the actual audio using methods ranging from stitching pre-recorded fragments to advanced neural models like Tacotron and WaveNet. Deep learning now sits at the core of modern TTS systems, enabling models trained on large datasets to generate increasingly human-like voices.