Development of a Secure and Scalable Speech-to-Text System Using Artificial Intelligence

Abstract With the rapid growth of digital communication and mobile technologies, speech-based applications have become essential tools for enhancing productivity and information management. This paper presents an Advanced Speech Data Processing Application designed to record voice inputs, perform intelligent noise reduction, and convert speech into accurate textual data using modern speech recognition techniques. The proposed system integrates real-time audio capture, cloud-based processing, and secure data storage to ensure reliability and scalability. Artificial intelligence algorithms are employed to improve transcription accuracy in noisy environments. The application provides an intuitive interface for managing, editing, and retrieving recorded data. Experimental results demonstrate that the system significantly reduces manual effort and improves documentation efficiency. The proposed solution is suitable for students, professionals, and researchers who require fast and reliable speech-to-text conversion. Keywords: Speech Processing, Speech Recognition, Noise Reduction, Audio Transcription, Mobile Application, Cloud Computing