Why Voice Technology No Longer Sucks: A Critique and History
Blog post from Deepgram
Voice technology has evolved from early sound-recording and speech-synthesis inventions such as Edison’s 1877 phonograph and Bell Labs’ 1939 Voder into modern systems powered by machine learning, neural networks, and natural language processing. Research milestones included digit recognition at Bell Labs in 1957, continuous speech recognition and speech synthesis advances in the 1970s, widespread adoption of hidden Markov models in the 1980s, consumer dictation products such as Dragon Dictate in the 1990s, and the arrival of mainstream virtual assistants after Apple introduced Siri in 2011. Today, voice systems support smart-home controls, customer service automation, transcription, translation, fraud detection, retail operations, personalization, and accessibility services, while assistants such as Siri, Alexa, and Google Assistant can manage tasks, appointments, notes, and connected devices. The account anticipates increasingly human-like conversational systems, broader adoption across industries including healthcare and education, and improved real-time recognition and translation that could reduce language and accent barriers.
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