International Journal of Innovative Engineering (IJIE) Vol. 01, Issue 01, May 2023, pp. 23 ~ 28 ISSN: 2959-9385, DOI: https://doi.org/10.60044/ijie.v1i1.9 23 Journal homepage: ijie.iiarjournals.com ENGINEERING TERMS TALKING DICTIONARY Md. Abdullah Al Noman* 1, 2 , Rubel Kanti Das 3 , A.S.M NOMAN 4 1 National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China. 2 School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China. 3 Department of Electronic & Communication Engineering, Southern University Bangladesh. 4 Department of Electrical & Electronic Engineering, Southern University Bangladesh. Article Info ABSTRACT Article history: Received : April 26, 2023 Revised : May 14, 2023 Accepted : May 20, 2023 The present study introduces a practical tool for translating diverse technical terminology in the field of engineering. The device has the capability to comprehend the requirements of its users and, if the relevant information is available within its database, it provides an explanation of the assigned task. Furthermore, in the event that the response requiring a reply is not present within the database, the dictionary prompts the user to indicate whether they wish to document the response. Consequently, the dictionary's database has the potential to be enhanced. The Raspberry Pi has been utilized as the central controller. The system comprises of two components, namely Speech-to-Text (STT) and Text-to-Speech (TTS). Keywords: Dictionary Talking dictionary Raspberry Pi STT TTS Corresponding Author: Md. Abdullah Al Noman National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China 5 th South Zhongguancun Street, Haidian District, Beijing, China, Postcode 100081 Email: nomansub14@gmail.com 1. INTRODUCTION In the field of engineering, it is necessary to acquire knowledge of various technical terminologies. In such instances, relying solely on a dictionary is considered to be a crucial method. The efficacy of utility- based text-oriented dictionaries can be significantly augmented through the utilization of electronic dictionaries that employ speech as the primary mode of interaction. The present study introduces a talking dictionary as a potential substitute for traditional dictionary materials. This paper presents a talking dictionary that possesses the ability to comprehend user inquiries and respond with a natural-sounding voice [1, 2]. The manuscript is organized into four distinct sections. Section II provides a detailed exposition of the system, while Section III expounds upon the operational methodology. Finally, Section IV summarizes and concludes the investigation.