How computers generate human-like speech using text-to-speech technology

Text-to-speech technology translates written text into audible speech by segmenting words into the smallest sound units, known as phonemes, and arranging them in proper order. Historically, inventors experimented with air-pumping mechanisms in the 1700s and early electronic synthesizers such as the 1939 Voder, which required manual operation. Modern systems replace rigid sound maps with machine-learning algorithms trained on extensive recordings of real speakers, allowing computers to reproduce natural variations like breath pauses and emotional tone.

This advanced AI can learn an individual's vocal characteristics from a few seconds of audio and generate new utterances that sound authentic. While the technology enhances navigation, news reading for the visually impaired, and communication for those unable to speak, it also enables the creation of highly realistic fake audio that scammers may exploit. Researchers are developing detection tools to counter such misuse.