Advancements in Speech Processing Technology: A Comprehensive Bibliometric Analysis
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Abstract
This paper provides a comprehensive bibliometric analysis of the advancements in speech processing technology, a field that has experienced significant progress in recent years. This study focuses on key areas, such as speech recognition, speech synthesis, and natural language processing, and covers a wide range of applications, from cochlear implantation to artificial intelligence and human-computer interaction. Utilizing state-of-the-art bibliometric methods, this study conducted a comprehensive examination of the literature published between 2019 and 2023 to identify trends, influential authors, and emerging areas of interest in speech processing technology. The methodology employed involves the meticulous selection and analysis of academic publications, citation structures, and research partnerships. These findings highlight significant advancements in speech processing, notably in cochlear implantation, auditory neuroscience, and automatic speech recognition. This study identifies core research areas, influential authors, countries, and journals, providing insights into the trajectory of advancements and their broader impacts on related research fields. This study also investigated the merging of speech processing technology with artificial intelligence and deep learning, resulting in innovative applications in domains such as silent speech interfaces and portable solutions for individuals with hearing impairments. Additionally, the study demonstrates a rising scholarly interest and academic involvement, as indicated by the growing number of publications and citations over the past several years. This bibliometric analysis offers valuable insights into the evolution and impact of speech processing technology. It guides future research directions and technological developments, contributing significantly to academic discourse in this dynamic field. This study serves as a valuable resource for researchers, educators, industry professionals, and policymakers, fostering informed decisions and collaborations to advance the field of speech processing technology.