Inbuilt transcriptionĪre you a youtuber or maybe you do podcasting, in either case, you already know the importance of transcription. Dragon comes with integrated functionality that allows you to write an email, open literally any application installed on your system (for example: say “open word,” and it will launch MS Word) and ability to adapt to your voice – day by day. The most significant advantage of Dragon NaturallySpeaking is its ability to control and navigate your operating system along with most of the installed applications with your voice commands. It works without needing any Internet connectivity (zero, null, none) and brings you the power of the neural network and artificial intelligence directly from your computer.
Google among few do offer off-line voice recognition, but you will “instantly” notice significant accuracy loss, and most of the time, you will get “pure garbage.”įortunately, that’s not the case with Dragon NaturallySpeaking because it’s an application that you need to install locally on your system (Microsoft Windows, Android, iOS, or Mac OS). The biggest problem with most of the voice recognition products is that they always need active internet connectivity to work and to offer decent accuracy. There are some distinct features that you will find only in Dragon NaturallySpeaking, and they truly make it a most preferred “paid” voice recognition application. But, when it comes to the most advanced and easy to use voice recognition, Dragon NaturallySpeaking is undoubtedly the leader.
It really doesn’t matter if you want to dictate your documents or if you want to use a voice recognition due to your disability, as already discussed there are several free and paid choices each offering distant features and accuracy rates. Note: There are a dozen of companies investing millions in voice recognition, but these are literally the leaders and innovators. Some of today’s global leaders in speech recognition are Google, Amazon, Apple, Facebook, and Dragon NaturallySpeaking. What’s even more fascinating is the fact that today’s voice recognition is not just limited to one single language – ” English” – but can recognize up to 119 languages from across the globe, with various accents, tone and can achieve ~95% accuracy rate.
Thanks to artificial intelligence and neural networks, today’s computers can’t only understand English and its 1 million+ word and phrases but can even adapt to your tone, speech pattern and accent. The only thing that kept voice recognition from becoming the next dominant computing feature was unreliability.īut today things are changing in the landscape of voice recognition’s multi-verse.
So, basically, they couldn’t differentiate between “broken legs” and “beacon eggs.” The Modern Speech Recognition Even nearly 30 years later that number had grown to only around twenty thousand, which may seem like a lot but remember that the English language has over one million words on top of that early software couldn’t predict what words you were trying to say by using context. Some of the first systems, like Audrey from the 1950s, could only recognize about 10 words. 1952 when Bell Laboratories first designed the “Audrey” system to Fast forward twenty-five years and voice recognition technology is kind of VR (virtual reality) where someone is always claiming that they’ve made a significant breakthrough and it turns out to still be kind of crap.Įarly forms of voice recognition had very limited vocabularies.