Annisa is smart assistant with artificial intelligence (AI) that respond interactively through voice command. Annisa consists ofspeech-to-text module, natural language processing, and text-to-speech module. It also composed of other supporting modules like third party APIs, etc. Annisa is reliable to help your daily activities such as playing a music, creating an agenda, asking the weather, checking the traffic density, even teaching your children. Annisa can also be used for operating electronic home appliances, shopping, booking a tickets, booking an ojek online and many more.
Smart Media Monitoring System
System for transcripting multimedia advertisement (radio, tv, etc.) automatically and real time, or through audio recording batch processing. It is able to recognize characteristics of the advertisement and automatically classify several different speakers (speaker diarization). It is capable to conduct voice analysis of conversations and rapidly discover the topics being discussed, as well as the topics of the entire conversation. It can aware with words that need immediate attention (keywords spotting)
Notula Payment is an additional security for payment system based on voice biometrics and face recognition.
Notula Medis is an electronic medical record system based on automatic voice recognition technology. Doctor can use Notula Medis to record the results of the patient's examination by talking tothe system through the app on android or iphone. It can be integrated into existing health/hospital information systems. Therefore, it can provide the analysis of public health conditions on a daily, weekly, monthly or annual basis.
Polis is a verification system for retirees using voice biometrics and face recognition. It run as an application on Android or iPhone. With Notula Polis, a retiree simply needs to show his faces and speak random numbers that appear on the smartphone screen to verify their identity.
The system for transcripting radio and tv automatically, directly and real time or through audio recording batch processing. It can recognize voice characteristics from the recording and automaticallyclassify several different speakers (speaker diarization) and gender. It simplify searching word in a recording. It is able to perform voice analysis of conversations to quickly trace the topics discussed, as well as the topics of the entire conversation and swiftly detect words that need quick response (keywords spotting)