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From Hawking to Siri: The Evolution of Speech Synthesis

What's this blog post about?

The evolution of speech synthesis has come a long way since its early days as a keyboard connected to a loudspeaker through circuitry. Speech synthesizers have evolved from simple machines producing vowels and consonants to sophisticated systems using deep learning algorithms for natural-sounding speech generation. Early inventors like Wolfgang von Kempelen, Charles Weathstone, and Alexander Graham Bell contributed to the development of speaking machines that could produce full words. The vocoder, developed by Homer Dudley in 1937, was a significant milestone in speech synthesis technology. In recent years, deep learning-based speech synthesis has emerged as a powerful tool for generating more natural and intelligible speech. Google's WaveNet and Tacotron 2 are examples of projects using neural networks to produce high-quality synthesized speech. Today, speech synthesis is widely used in voice assistants like Siri, Cortana, and Alexa, as well as in various applications such as text-to-speech systems for people with disabilities. The history and development of synthetic speech have been shaped by the contributions of many scientists and researchers over centuries, leading to advancements that continue to improve our interactions with technology.

Company
Deepgram

Date published
Sept. 7, 2023

Author(s)
Tife Sanusi

Word count
1476

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.