DocumentCode :
3049736
Title :
Performance Evaluation of SNR Estimation Methods in Forensic Speaker Recognition
Author :
Beritelli, Francesco ; Casale, Salvatore ; Grasso, Rosario ; Spadaccini, Andrea
Author_Institution :
Dipt. di Ing. Inf. e delle Telecomun., Univ. di Catania, Catania, Italy
fYear :
2010
fDate :
18-25 July 2010
Firstpage :
88
Lastpage :
92
Abstract :
Speech signal quality is of fundamental importance for accurate speaker identification. The reliability of a speech biometry system, in fact, is known to depend on the amount of material available, in particular on the number of vowels present in the sequence being analysed and on the quality of the signal. This paper highlights the performance of two Signal-to-Noise Ratio (SNR) estimation methods (manual and semi-automatic) usually adopted for the evaluation of speech signal quality. The results not only demonstrate the different impact of noise on the single vowels, but also show that often the SNR is over-estimated or under-estimated, and this leads respectively to the inclusion of bad quality biometric samples or the exclusion of good quality data, with a negative impact on the accuracy of the identity verification test. The paper proposes a series of issues that need to be tackled in order to develop a better procedure for the selection of biometric samples extracted from the intercepted audio signal.
Keywords :
audio signal processing; biometrics (access control); computer forensics; noise; performance evaluation; speaker recognition; speech processing; SNR estimation method; forensic speaker recognition; identity verification test; performance evaluation; signal to noise ratio; speaker identification; speech biometry system; speech signal quality; Estimation error; Manuals; Noise measurement; Signal to noise ratio; Speech; SNR estimation; forensic biometry; speaker recognition; voice/noise detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Security Information Systems and Technologies (SECURWARE), 2010 Fourth International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7517-9
Electronic_ISBN :
978-0-7695-4095-5
Type :
conf
DOI :
10.1109/SECURWARE.2010.22
Filename :
5633627
Link To Document :
بازگشت