Startup Tech: Speech Recognition Vs. Transcription

Today’s business startups are in a challenging position. Presented with countless options for every technology need, they not only need to understand their own potential requirements – a challenge, given that they’re still developing – but evaluate factors like cost and UX, among others. So, what factors should your startup consider when selecting technology? The issues vary depending on the intended function, but narrowing your focus to a single set of programs, such as speech recognition versus transcription, makes it easier to identify what’s at stake.

Define Your Terms

The first thing that startups should consider when choosing between different tech tools is what exactly they’re looking for. For example, when businesses want to go from voice to page, they often use terms like transcription and speech recognition interchangeably, when that’s not actually accurate. 

Speech recognition refers to technology that strips back features like accents to access the basic words being spoken. It’s not interested in meaning or ensuring that what it draws from speech makes grammatical or conceptual sense. Transcription, on the other hand, may refer either to actual individuals who listen to the text and write down what they hear or automated software that relies on underlying tools like natural language processing to discern not just the words but the meaning behind the spoken language.

Originally posted at KillerStartups.com

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