Speech synthesis
Artificial production of human speech by computer systems.
Speech synthesis is the artificial production of human speech, implemented by computer systems called speech synthesizers. These systems convert text or symbolic linguistic representations into spoken output, with applications ranging from accessibility tools to entertainment.
- field
- Computer science, linguistics, electrical engineering
- key_technologies
- Text-to-speech (TTS), concatenative synthesis, formant synthesis, linear predictive coding (LPC), line spectral pairs (LSP), deep learning (WaveNet)
- first_computer_TTS_system
- 1968 (Noriko Umeda et al., Japan)
Lore & Background
Long before electronic signal processing, inventors built mechanical speech machines. Franklin S. The first computer-based speech synthesis systems emerged in the late 1950s. This demonstration inspired Arthur C. Noriko Umeda et al. developed the first general English text-to-speech system in 1968. Dominant systems in the 1980s and 1990s included DECtalk (based on Dennis Klatt's work) and the Bell Labs system. In 2016, DeepMind released WaveNet, a deep learning model that could generate speech from acoustic features, initiating the field of deep learning speech synthesis.
Reader's Guide
Speech synthesis has evolved from mechanical vocal tract models to sophisticated digital systems. Its significance lies in enabling communication for people with visual impairments or reading disabilities, as text-to-speech programs allow them to listen to written words. The technology also powers virtual assistants, navigation systems, and accessibility features in operating systems. Key milestones include the first computer-based systems in the late 1950s, the development of LPC and LSP coding methods that improved compression and quality, and the shift to deep learning with WaveNet in 2016. The field continues to advance, with modern systems achieving high intelligibility and naturalness. The legacy of speech synthesis is evident in its widespread adoption across consumer electronics, from toys like Speak & Spell to operating system narrators like Microsoft Sam. The technology's history reflects a convergence of linguistics, signal processing, and artificial intelligence, with ongoing research into more expressive and efficient synthesis.
Frequently Asked Questions
What is Speech synthesis?
Speech synthesis is the artificial generation of human-sounding voice by computer systems called speech synthesizers, which transform written text or symbolic linguistic data into audible spoken output.
What key technologies power Speech synthesis?
The field relies on a range of methods including text-to-speech engines, concatenative and formant synthesis, linear predictive coding, line spectral pairs, and modern deep-learning models such as WaveNet.
When was the first computer-based Speech synthesis system created?
The first computer TTS system was demonstrated in 1968 by Noriko Umeda and her colleagues in Japan.
Which academic disciplines does Speech synthesis span?
It sits at the crossroads of computer science, linguistics, and electrical engineering, drawing expertise from all three to turn language into sound.
Why is Speech synthesis important in everyday communication and media?
Its applications range from accessibility tools that help people with visual or speech impairments navigate the world to entertainment and interactive media experiences.
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