A Bibliometric and Co-occurrence Analysis of Speech Processing Literature Published from the Year 2015 to mid of June 2021

Abstract

Speech processing technology will continue to be a fast-increasing area of signal processing for many years to come, based on present trends. Research in this field is useful in a variety of fields, including voice identification, interactive voice systems, emotion recognition, call center automation, virtual assistants, and robotics. Artificial intelligence, machine learning, and signal processing have all made significant strides recently, making this viable. The goal was for authors/co-authors of documents to evaluate speech processing in Scopus in terms of research trends and leading countries. The search syntax was based on the title of the article. Our article summarizes the research that has been done on this topic over the last five years. This study looked at 5,082 "speech processing" records from January 1, 2015, to June 14, 2021, which were collected from the Scopus database using the keywords "Speech Processing" and "keyword in the title (item)" and then evaluated with VOSviewer software. Several countries are ranked substantially higher in Scopus in terms of journal coverage, according to this analysis. The United States, China, Japan, India, and the United Kingdom are the major contributors. The interpretation of the results is determined by the search phrase used and the database or information system under investigation. According to this survey, in the area of speech processing, 73 percent overall research papers published in the last five years are conference papers. The studied co-occurrence relationship between keyword in the title clearly demonstrates that this topic of research is steadily being explored. This analysis may inspire and motivates the research community who are working in this discipline.