Voice4Baby is a multi-disciplinary project which aims at facilitating the language learning environment of babies. This is achieved by designing a comprehensive product to record and analyze human voices around babies. Interactions between the family and the product are best supported with a cloud platform connecting mobile devices, wearable devices and cloud server. At initial stage, the heavy development at cloud server was based on Django, a content-centric web framework. As project progresses, some research challenges emerged in voice separation and recognition. In previous research, voice separation and recognition were researched and implemented separately; however, in this seamless processing, separation and recognition have to be incorporated together to produce better performance. Last stage of the project included sentiment analysis at Django, recording function and Bluetooth communication at Raspberry-Pi. The intense development and research solution have resulted in seamless workflow and functional effectiveness. However, there is more room for improvement in the precision of separation and recognition algorithms. Overall, the project has met the design requirement and project objective.Bachelor of Engineering (Computer Engineering
