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Object detection and tracking are important roles in computer vision algorithms. Detecting and tracking objects have many challenges like detecting objects efficiently in both indoor and outdoor circumstances and avoiding occlusion. Many traditional methods are not good in these circumstances and have good efficiency. Due to the constant increase in research in deep learning methods and popularity due to its mastery in terms of accuracy we choose deep learning over traditional machine learning. Object detection is a key topic in image processing and is used for detecting identifying and...

The world all living around is noisy. The speech communicated from one person to other person or person to machine is contaminated by noise present in the environment. In modern speech communication systems like smart phone, teleconferencing, hearing aids and human-machine interfaces, the speech is recorded with single microphone or multiple microphones. The microphones record the speech signal of interest along with the noise that is present in environment. Due to the noise the signal quality and intelligibility reduces and it is hard to understand the speech signal clearly. Thus it is...