How do voice recognition programs work

Speech recognition software uses natural language processing NLP and deep learning neural networks. This means that the software breaks the speech down into bits it can interpret, converts it into a digital format, and analyzes the pieces of content.

From there, the software makes determinations based on programming and speech patterns, making hypotheses about what the user is actually saying. After determining what the users most likely said, the software transcribes the conversation into text. This all sounds simple enough, but the advances in technology mean these multiple, intricate processes are happening at lightning speed.

Machines can actually transcribe human speech more accurately, correctly, and quickly than humans can. There are a few ways around these issues. Voiceover artists can be recruited to record specific phrases with specific intonations, or in-field collection can be used to collect speech in a more real-world scenario.

For example, we collected speech data for Nuance directly from the cabin of a car to simulate the in-car audio environment. So next time Siri fails to understand your existential questions, or your Amazon Alexa plays the wrong music, remember that this technology is mind-blowingly complicated and still impressively accurate. Summa Linguae Technologies collects and processes training and testing data for AI-powered solutions , including voice assistants, wearables, autonomous vehicles, and more.

We have worked on a number of speech recognition-related projects, including in-car speech recognition data collection and voice-controlled fitness wearables.

Through these projects and many more, we have seen first-hand the complexities of speech recognition technology, and devised data solutions to help make the devices more usable and inclusive. Contact us today to see how we can help your company with data solutions for your speech recognition technology. New voice activated apps and Alexa Skills are making everyday tasks hands-free.

Here are some of the smart Conversational AI is making life easier thanks to a number of handy applications. What makes it useful and Summa Linguae uses cookies to allow us to better understand how the site is used. By continuing to use this site, you consent to this policy. What is voice recognition software? How does it work?

What about in the future? Trending Posts. What is a Mobile Driver's License? Related Articles. The technology identifies your specific voice and you rely on its ability to do so to keep you safe. Voice-enabled devices also recognize specific voices within a home. These recognition abilities prevent your kids from using devices to shop without your permission. They also help to differentiate from family members who are scheduling appointments with connected devices.

In addition to its capabilities in the home, voice recognition is empowering universities to aid students with disabilities. Smart classrooms are now implementing advanced technologies like voice-activated academic transcription software. AI-based transcription software makes it easy for them to differentiate between when a university professor is speaking and when its a peer speaking or asking a question when listening to recorded lectures for example.

Voice recognition tools also empower the higher education industry with the ability to use voice dictation systems when written papers are required to be submitted. When it comes to legal proceedings, such as court hearings and depositions, where many people are involved, recording and transcribing the process is often necessary. The industry is experiencing a shortage of stenographers and therefore turning to voice-activated legal transcription software.

While AI-based transcription products help court reporting agencies train the software to recognize industry terms, automatic voice recognition engines can distinguish between the many speakers present in the same room and account for common interruptions.