Chinese is one of these languages as well as Thai and Vietnamese. The hardest languages for voice recognition software to identify are the languages that use tonal inflections to determine the meaning. For example, if you pronounce a phrase as “thank dew,” the computer knows that you most likely mean “thank you” since that is the most commonly used phrase that sounds similar. Since we often use different inflections to represent words, even a different accent from different parts of the country can cause problems.ĭictation programs use a combination of comprehensive dictionaries and common phrases to help fill in the gaps. It has to process the many phonemes in the human language, and accurately put them together to form words. Language recognition software has a very difficult job.
In these cases, the language must be processed word by word. The program needs to anticipate what is actually being said. Language consisting of a large number of variations in expression and idiomatic sayings can be more difficult for developers. Voice recognition software works much the same way since it doesn’t need to recognize every single consonant and vowel to identify the word being spoken. Most people would be able to ready this sentence even though it’s missing all of the vowels. How Voice Recognition Software WorksĬonsider the following sentence: “Th ppl wnt t th prk.” Furthermore, the program begins to become more adept at learning how to recognize a specific users unique voice pattern. Additionally, integrating user feedback also helps a program to “learn” the preferences of a specific user. As well as, a larger database of idiomatic sayings and an emphasis on the most commonly used words and phrases in a language. This is why if you were to read a passage completely devoid of vowels, you would still be able to understand what it says.Īs speech recognition software continues to develop, it will incorporate more examples from native speakers. Humans do this too by looking for familiar chunks of information.
When voice recognition software attempts to recognize words, it looks for pieces of information that follow a similar pattern. In general, men’s voices are one of the hardest languages to understand for voice recognition software. The language being spoken and the gender speaking the language has a dramatic effect on the accuracy of the translation.
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