Humans Can Easily Differentiate Between Homophones (To, Too, Two)
One of the quickest ways to tell if a transcript was done by a machine is to look for errors in homophones. Homophones are two or more words that have the same pronunciation but different meanings, origins, or spelling. Speech recognition software must rely on sentence structure to predict the most probable word to use. This can often lead to mistakes. For example, let’s say that a doctor was frustrated and lost his patience with someone. A human transcriptionist would transcribe, "The doctor lost his patience," based on the context. An automated transcriber would likely transcribe, "The doctor lost his patients."