Images revealing useful clues on Romanian vowels spectrograms

  • Authors:
  • Mihaela Costin

  • Affiliations:
  • Romanian Academy, Iasi, Romania

  • Venue:
  • WORLD-EDU'12/CIT'12 Proceedings of the 6th international conference on Communications and Information Technology, and Proceedings of the 3rd World conference on Education and Educational Technologies
  • Year:
  • 2012

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Abstract

Image of complex spectrograms on vocal signals gives interesting clues on important characteristics not to be ignored in voice processing. On-line high quality speaker-recognition continues to be a challenging attempt for the speech-processing domain, researches continuing to be developed for finding the optimal paths. Finding a certain voice in a party-environment or detecting the possible nationality of a speaker based on voiceanalysis has tremendous importance in forensic research. Compulsory pre-processing stages are implied in order to obtain the best feature vector, retaining the most important characteristics of the recorded utterance. The quality of the recording and the required noise treatment, the structure of the feature vector, the type of the classifier used in the recognition stage must take into consideration detailed aspects resulting when vowels spectrogram images are analyzed.