Coupled with the plunging cost of storing data, it is now possible to use human language in ways that were unthinkable just a few years ago. By capturing vast quantities of human speech, neural network programs can be trained to recognize spoken language with accuracy rates that in the best circumstances approach 95 percent. Improvements in software technology have made automatic speech transcription possible. His company offers a service that automatically transcribes speech with high enough accuracy that it is gaining popularity with journalists, students, podcasters and corporate workers. Liang, who is the chief executive and co-founder of Otter.ai, a Silicon Valley start-up, has set out to do something about that in the future. “I really miss her,” he said of her death in 2001. Sam Liang longs for his mother and wishes he could recapture the things she told him when he was in high school. This article is part of our continuing Fast Forward series, which examines technological, economic, social and cultural shifts that happen as businesses evolve.
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