Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964223668> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W2964223668 abstract "Audio editing software makes voice camouflage easily. That threats to the security and authenticity of audio. Whether the audio forensics can identify voice disguised by software has become an important issue. At the same time, since the audio used in daily life always contains noise, the other key point is improving the anti-noise performance. This paper proposed an algorithm on identification of electronic disguised voice with pitch scaling, which has high anti-noise performance. The algorithm is based on Least Mean Square (LMS) filter and cochleagram, an acoustic characteristic which could reflects the auditory features of human ear. In the algorithm, the noisy voice is sent to the LMS filter for noise reduction. Then cochleagram is extracted from the output signal of LMS filter. The cochleagram is handled at different resolution to construct the Least Mean Square-Multi Resolution Cochleagram (LMS-MRCG) feature. the Gaussian Mixture Model-Universe Background Model (GMM-UBM) is used as detection classifier to identify disguised voice. The pitch scaling type contains 5 different pitch for each speaker's voice. In the end the algorithm needs to identify the pitch type of each speaker. The results show that the algorithm has high detection rate Voice with different genders and languages both can be identified. Under the influence of various environmental noises such as Gaussian white noise, pink noise, factory noise, vehicle noise, etc. the algorithm maintains stable identification performance. Especially in low SNR environment, algorithm can maintain high accuracy of forensic classification. In the environment of noise-free, overall identification rate can reach 97.50%. In the low SNR environment as low as -5dB, identification rate can still remain above 85.83%." @default.
- W2964223668 created "2019-07-30" @default.
- W2964223668 creator A5056641907 @default.
- W2964223668 creator A5081187753 @default.
- W2964223668 creator A5090723386 @default.
- W2964223668 date "2019-05-17" @default.
- W2964223668 modified "2023-09-24" @default.
- W2964223668 title "Cochleagram-based identification of electronic disguised voice with pitch scaling in the noisy environment" @default.
- W2964223668 cites W1489184006 @default.
- W2964223668 cites W1552371796 @default.
- W2964223668 cites W1978274651 @default.
- W2964223668 cites W2017608047 @default.
- W2964223668 cites W2080607798 @default.
- W2964223668 cites W2791874741 @default.
- W2964223668 cites W4236087597 @default.
- W2964223668 doi "https://doi.org/10.1145/3321408.3326664" @default.
- W2964223668 hasPublicationYear "2019" @default.
- W2964223668 type Work @default.
- W2964223668 sameAs 2964223668 @default.
- W2964223668 citedByCount "0" @default.
- W2964223668 crossrefType "proceedings-article" @default.
- W2964223668 hasAuthorship W2964223668A5056641907 @default.
- W2964223668 hasAuthorship W2964223668A5081187753 @default.
- W2964223668 hasAuthorship W2964223668A5090723386 @default.
- W2964223668 hasConcept C116834253 @default.
- W2964223668 hasConcept C2524010 @default.
- W2964223668 hasConcept C28490314 @default.
- W2964223668 hasConcept C33923547 @default.
- W2964223668 hasConcept C41008148 @default.
- W2964223668 hasConcept C59822182 @default.
- W2964223668 hasConcept C86803240 @default.
- W2964223668 hasConcept C99844830 @default.
- W2964223668 hasConceptScore W2964223668C116834253 @default.
- W2964223668 hasConceptScore W2964223668C2524010 @default.
- W2964223668 hasConceptScore W2964223668C28490314 @default.
- W2964223668 hasConceptScore W2964223668C33923547 @default.
- W2964223668 hasConceptScore W2964223668C41008148 @default.
- W2964223668 hasConceptScore W2964223668C59822182 @default.
- W2964223668 hasConceptScore W2964223668C86803240 @default.
- W2964223668 hasConceptScore W2964223668C99844830 @default.
- W2964223668 hasLocation W29642236681 @default.
- W2964223668 hasOpenAccess W2964223668 @default.
- W2964223668 hasPrimaryLocation W29642236681 @default.
- W2964223668 hasRelatedWork W2312116756 @default.
- W2964223668 hasRelatedWork W2363804782 @default.
- W2964223668 hasRelatedWork W2368779261 @default.
- W2964223668 hasRelatedWork W2778699561 @default.
- W2964223668 hasRelatedWork W2794438528 @default.
- W2964223668 hasRelatedWork W2893763841 @default.
- W2964223668 hasRelatedWork W2899374547 @default.
- W2964223668 hasRelatedWork W2995996972 @default.
- W2964223668 hasRelatedWork W3128571556 @default.
- W2964223668 hasRelatedWork W4304891817 @default.
- W2964223668 isParatext "false" @default.
- W2964223668 isRetracted "false" @default.
- W2964223668 magId "2964223668" @default.
- W2964223668 workType "article" @default.