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- W2382778913 abstract "The typical time-frequency characteristics of speech signal and the core algorithms are the key problems in speech recognition,speech synthesis and speaker recognition system.According to the algorithm principles of linear prediction coding(LPC) theory and Mel frequency cepstrum coefficient(MFCC),a features extraction system platform for speech signal based on MATLAB GUI was implemented.On this platform,the speech signal in different audio formats can be loaded and played,and the waveform of the loaded speech signal can be displayed.Furthermore,the calculated results of LPC and MFCC can be displayed on the interface.At the same time,the data results can be saved in the corresponding files.The system supplied friendly human computer interaction and easy operation.The designed system will provide important and intuitive auxiliary effect on verifying the algorithms and data processing efficiency for the research fields related to speech signal processing." @default.
- W2382778913 created "2016-06-24" @default.
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- W2382778913 date "2010-01-01" @default.
- W2382778913 modified "2023-09-24" @default.
- W2382778913 title "Design of the Features Extraction System for Speech Signal Based on MATLAB GUI" @default.
- W2382778913 hasPublicationYear "2010" @default.
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