An overview of speaker diarization: Approaches, resources and challenges

Speaker Diarization task consists of inferring “who spoke when” in an audio stream without any prior knowledge. It is an important task in audio processing and retrieval. A concise overview of speaker diarization problem and available solutions are presented in this paper. Efforts have been given to summarize different approaches and practices to speaker diarization highlighting existing resources like toolkits and standard datasets, evaluation matrices, main application areas, and associated challenges. The study can serve as the basic material to provide necessary preliminary idea on the topic. Though most of the related research initiatives have been reported in several prior studies, this study will be useful to focus on the real-time application development perspective.