Its adoption has only continued to accelerate in recent years due to advancements in deep learning and big data. While speech technology had a limited vocabulary in the early days, it is utilized in a wide number of industries today, such as automotive, technology, and healthcare.

This speech recognition software had a 42,000-word vocabulary, supported English and Spanish, and included a spelling dictionary of 100,000 words. However, IBM didn’t stop there, but continued to innovate over the years, launching VoiceType Simply Speaking application in 1996. This machine had the ability to recognize 16 different words, advancing the initial work from Bell Labs from the 1950s. IBM has had a prominent role within speech recognition since its inception, releasing of “Shoebox” in 1962.

While it’s commonly confused with voice recognition, speech recognition focuses on the translation of speech from a verbal format to a text one whereas voice recognition just seeks to identify an individual user’s voice.

Speech recognition, also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, is a capability which enables a program to process human speech into a written format. Learn about the history of speech recognition and its various applications in the world today What is speech recognition?

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