Abstract
Speech is a prominent communication method among humans, whereas the communication between human and computers were based on text user interface and graphic user interface. Speech recognition is used in almost every security project where you need to speak and tell your password to computer and is also used for automation. This paper demonstrates a model that enhances technological advancement where humans and computers interact via voice user interface. In developing the model, cross correlation was implemented in MATLAB to compare two or more signals and detect the most accurate one of the all. We are actually used cross correlation to find similarity between our recorded Signal files and the testing signal. Thus we were able to develop a model where machines can differentiate between commands and act upon them.
Highlights
Speech is the most prominent means of communication amongst humans
The communication between humans and computers is based on either Text User Interface (TUI) or Graphic User Interface(GUI)
In laboratory settings automatic speech recognition systems (ASR) have achieved high levels of recognition accuracies, which tend to degrade in real world environment [1]
Summary
Human-to-human interaction is based on speech, emotion and gestures, thereby making it a lot easier to understand one another. The communication between humans and computers is based on either Text User Interface (TUI) or Graphic User Interface(GUI). It is a lot easier for us humans to recognize a person’s voice than computers. Speech recognition in machine learning is a game changer as developing machines that can understand and uniquely identify a person’s voice would make Human-Computer interaction more intriguing. In today era speech technologies play an important role. This technology is commercially and available for a different uses. With the different information in speech waves we can identify the speaker [2]
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