Artur Janicki
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The paper details a data science competition focused on identifying hidden backdoor triggers (trojan horses) in deep forecasting models used for critical space operations.
This paper explores the use of hybrid feature sets to improve the performance of Automatic Speaker Verification (ASV) systems under noisy conditions, using Mel-Frequency Cepstral Coefficients (MFCC), Constant Q Cepstral Coefficients (CQCC), and the RAB descriptor.
Papers
Improving the performance of an ASV system using hybrid speech features
This paper explores the use of hybrid feature sets to improve the performance of Automatic Speaker Verification (ASV) systems under noisy conditions, using Mel-Frequency Cepstral Coefficients (MFCC),…