In this paper, we describe components that form a part of USC-SAIL team's submissions to Track 1 and Track 2 of the second DIHARD speaker diarization challenge. We describe each module in our speaker diarization pipeline and explain the rationale behind our choice of algorithms for each module, while comparing the Diarization Error Rate (DER) against different module combinations. We propose a clustering scheme based on spectral clustering that yields competitive performance. Moreover, we introduce an overlap detection scheme and a re-segmentation system for speaker diarization and investigate their performances using controlled and in-the-wild conditions. In addition, we describe the additional components that will be integrated to our speaker diarization system. To pursue the best performance, we compare our system with the stateof-the-art methods that are presented in the previous challenge and literature. We include preliminary results of our speaker diarization system on the evaluation data from the second DI-HARD challenge.
The chapter was intended to provide an original and creative review of the literature on the dynamics of technological knowledge. It is argued that among the new developments on the theme, the investigation on endogenous complexity in technological knowledge is certainly the most promising advance. First it provides an accurate representation of how knowledge is created and diffused at the analytical level, and second it also benefits of an empirical value since it can be expressed by a wide range of indicators and measures. In particular, it is claimed that such framework has a great potential in that it provides both the theoretical and empirical grounds to carry out an interdependent analysis of technology as an act and as an artefact. In this direction, the structure of technological knowledge is represented as a network the architecture of which is in turn influenced by the architecture of the network of innovation, and vice versa.
In current scenario, modern technologies have completely changed the lives of the people. Every facility is available online through internet. People do their business through online services by being at home. This changing trend brought the concept of Cloud Computing where various physical servers(may be at different locations) are collaborated together and cloud services are provided to the users in the same fashion. When millions of people access business applications to perform their transactions, there arises a susceptibility for personal information security to get leaked through hackers/intruders etc. [1] [2] [3]. To avoid certain circumstances, data security becomes prime essential component as building block for the development of a safer and convenient system. The users require a prominent and secure portal. The risk levels get enhanced in case of access of highly confidential information through their accounts within the portal such as Banking websites, Defense or brokerage related applications. Safeguard of security through internet becomes streamlined concern for the service providers. A lot of research work has been pursued in order to ensure higher safety levels [4][5] [6].
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