Speech Recognition is a system that allows people to convert spoken words into written texts. It has a pre-defined vocabulary that is able to recognize words when it is spoken clearly. Complex softwares are now capable of identifying daily natural speech, accents and different languages.
Speech recognition uses a broad array of research in computer science, linguistics and computer engineering. Many modern devices and text-focused programs have speech recognition functions in them to allow for easier or hands-free use of a device.
Health applications are a great example for softwares uses speech recognition. With the advanced technology we currently have, now artificial intelligences are able to detect mental health issues. This technology is one the most fundamental forms of conversation that builds up the Human & AI relationship.
In addition to this, Wicode’s newest product FitLatife has speech recognition technology too. Users are now able to get engage with Healthy Life Assistant Latife herself by actually talking with her. Latife will give them tips and tricks to maintain a healthy, sustainable and fun lifestyle. She can ask them about their quality of sleep and make sure you are doing fine with your life.
Speech Recognition technology can recognize your mood from the tone of your voice, and guess your emotional stance by your word choices. These types of complex technologies help the Emotion AI area (Affective Computing) dataset develop and improve the methodology of softwares. This new form of Artificial Intelligence that allows computers to analyze and understand human nonverbal signs such as facial expressions, body language, gestures, and voice tones to assess their emotional state.
One of the biggest challenges for this technology is the variability of spoken language. For example, although it is the same language, speed of speech, toning, accent could locally differ from one to another. Therefore, the efficiency you desired may not be possible in every conversation.