Archive | 2021
Jarvis: Desktop Assistant
Abstract
“Jarvis” was main character of Tony’s Stark’s life assistant in Movies Iron Man. Unlike original comic in which\nJarvis was Stark’s human butler, the movie version of Jarvis is an intelligent computer that converses with\nstark, monitors his household and help to build and program his superhero suit.\nIn this Project Jarvis is Digital Life Assistant which uses mainly human communication means such\nTwitter, instant message and voice to create two way connections between human and his apartment,\ncontrolling lights and appliances, assist in cooking, notify him of breaking news, Facebook’s Notifications\nand many more. In our project we mainly use voice as communication means so the Jarvis is basically the\nSpeech recognition application. The concept of speech technology really encompasses two technologies:\nSynthesizer and recognizer. A speech synthesizer takes as input and produces an audio stream as output. A\nspeech recognizer on the other hand does opposite. It takes an audio stream as input and thus turns it into\ntext transcription. The voice is a signal of infinite information. A direct analysisand synthesizing the complex\nvoice signal is due to too much information contained in the signal. Therefore the digital signal processes\nsuch as Feature Extraction and Feature Matching are introduced to represent the voice signal. In this\nproject we directly use speech engine which use Feature extraction technique as Mel scaled frequency\ncepstral. The mel- scaled frequency cepstral coefficients (MFCCs) derived from Fourier transform and filter\nbank analysis are perhaps the most widely used front- ends in state-of-the-art speech recognition systems.\nOur aim to create more and more functionalities which can help human to assist in their daily life and also\nreduces their efforts. In our test we check all this functionality is working properly. We test this on 2\nspeakers(1 Female and 1 Male) for accuracy purpose.