![]() What makes a great dictation app?Īll of our best apps roundups are written by humans who've spent much of their careers using, testing, and writing about software. Think: taking a walk while "writing" your next novel. And the casual user can dictate notes, a shopping list, a text, or a reminder while performing other tasks, making multi-tasking a reality. Students can write papers and transcribe lectures into notes depending on the software's capabilities. Look no further than the changed working environment in the wake of COVID-19: more working from home means more opportunity to do things like dictate emails. And those with chronic conditions such as carpal tunnel syndrome can prevent the repetitive stresses that come with typing, simply by using their voice.īut as the technology has improved over the last 20 years and costs have come down, dictation software is now accessible to everyone as a tool to increase productivity almost instantly. For example, if you're unable to use your hands, you can still operate a computer, create documents, and access the web with dictation technology. Why would you want to do that? For starters, dictation software provides accessibility to those with disabilities-both physical and language-based-to access technologies and be more productive. These are fine for scheduling meetings, playing music, and finding a place to eat, but they aren't designed to transcribe your articles, meetings, and other documents.įor this review, we've focused on software, whether standalone or embedded in a device, meant for transcribing speech to text. Then there are those AI assistants built into many of the devices we use each day: Apple's Siri, Amazon's Alexa, and Microsoft's Cortana. And you may run across companies that provide transcription services-using humans to transcribe your voice files to text. Others market themselves as personal AI assistants (performing all computer tasks using speech) and may include a dictation component. But sometimes lumped into a search for these terms are products that provide something else entirely.įor example, some products will transcribe audio files to text, but they do not transcribe your voice to text in real-time. The terms dictation software, speech-to-text, voice recognition, voice-to-text, and speech recognition can all mean a program that converts your voice to text on a screen in real-time. Google Docs voice typing for dictating in Google DocsĪs you search online for dictation software, keep in mind that it can include all different types of apps and services. Windows 10 Speech Recognition for a free app for Windows usersĭragon by Nuance for a customizable dictation app The best dictation softwareĪpple Dictation for a free app for Apple devices And, of course, I'll provide a detailed review of our top picks for the best dictation software. ![]() In this article, I'll walk you through the different types of speech-to-text software, why you should give them a try, and provide tips on getting the best results. ![]() Plus, you'll have multiple languages to choose from and voice commands to further improve productivity. You can now dictate as fast as you want and be assured that at least 90% of what you say will be accurately transcribed. Today's dictation technology is light years ahead. Back then, it was clunky, slow-going, and frustrating for those of us early adopters. That’s why these speech recognition models are always being retrained with more data to fix these edge cases.Dictation software has come a long way since it was first released commercially in the early 1990s. Not recognizing “Hullo” is reasonable behavior, but sometimes you’ll find annoying cases where your phone just refuses to understand something valid you are saying. Try it out! If your phone is set to American English, try to get your phone’s digital assistant to recognize the world “Hullo.” You can’t! It refuses! It will always understand it as “Hello.” Maybe ‘Hello’ is the wrong transcription!” You might be thinking “But what if someone says ‘ Hullo ’? It’s a valid word. So having that memory of previous predictions helps the neural network makes more accurate predictions going forward. It’s much less likely that we will say something unpronounceable next like “XYZ”. For example, if we have said “HEL” so far, it’s very likely we will say “LO” next to finish out the word “Hello”. That’s because each letter it predicts should affect the likelihood of the next letter it will predict too. We’ll use a recurrent neural network - that is, a neural network that has a memory that influences future predictions.
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