期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2019
卷号：67
期号：9
页码：50-54
DOI：10.14445/22312803/IJCTT-V67I9P110
出版社：Seventh Sense Research Group
摘要：Speaker Diarization is the task of determining ‘who spoke when?’.Speaker Diarization uses unsupervised as well as supervised approaches to detect the change of speaker in the temporal dimension. This paper primarily describes the implementation of Speaker Diarization using Neural Networks (a supervised method). First a summary of the clustering algorithms is given. Then the three approaches using neural networks is specified. They are Speaker Diarization using Artificial Neural Networks, Recurrent Neural Networks and Adaptive Long Short Term Memory or Multiple LSTMs. Finally the accuracy is calculated and the results are compared.
