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The need for a common evaluation framework to guide the collection, analysis and synthesis of evidence is increasingly evident.
In addition, this paper presents a new public online dataset which is made available to the research community with the aim of providing a common evaluation framework to overcome some of the current limitations identified in this survey.
Therefore, the motivation behind the challenge is to provide a common evaluation framework, i.e., tasks and databases, to assess and collectively compare the state-of-the-art algorithms and gain new insights regarding the potential future research directions for reverberant speech processing technology.
In order to provide a common evaluation framework for developing and testing of algorithms in the fields of dereverberation as well as reverberation-robust ASR, the REverberant Voice Enhancement and Recognition Benchmark (REVERB) challenge [8] has been launched and REVERB contributions showed significant improvements for speech enhancement (cf., e.g., [9]) and ASR (cf., e.g., [10, 11]).
Implementations were brought into a common evaluation framework by Tikk and colleagues (Tikk et al., 2010).
Application of a common evaluation framework in future primary studies would help build a common knowledgebase related to PHRs.
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However, due to the lack of common evaluation frameworks and databases in this research area, all contributions had different foundations.
Although each standard is correctly evaluating some aspect of the data, without a common, representative evaluation framework, the community cannot assess the relative performance of novel methods or high-throughput techniques.
The current Common Monitoring and Evaluation Framework (CMEF) is based on the quantification of environmental impacts on a set of common indicators.
Starting from these premises, the paper proposes a common evaluation and benchmarking framework, providing a synthetic test bed, which enables implementation and comparison of OD estimation/updating algorithms and methodologies under "standardized" conditions.
It concludes that the policy context has highlighted the need for the rural land use sector to respond to climate change but that the associated Common Monitoring and Evaluation Framework (CMEF) did not develop suitable indicators to assess the impact of SDRP measures on GHG emission mitigation.
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