Design and Analysis of Digital Vocal Processor Tool Kit for Advancing Industry

As Industry 4.0 changes manufacturing and industrial processes, there is a potential need for new technology innovation and evolution that can bridge communication gap between humans and machines in way that is efficient. This proposed system Digital Vocal Processing Toolkit works efficiently with the help of Raspberry Pi, modern speech processing techniques will provide a solution that satisfies the need. In this article a complete explanation of the structure, features, and uses of the toolkit in the context of Industry 4.0. The toolkit provides a range of advanced applications they are Automatic Speech Recognition (ASR), Language Translation, Text-to-Speech (TTS), speaker identification, and diarization, by integrating advanced Large Language Models (LLMs). In addition to that, this study gives helpful insights and potential of this toolkit is to completely change the industrial operations by conducting a thorough investigation on the capabilities and performance metrics for each component. The Digital Vocal Processing Toolkit can improve human-machine communication, aids multilingual capabilities, and enables effective data analytics. It has the most potential to enhances the productivity, innovation, and collaboration for the era of Industry 4.0.