Results 211 to 220 of about 557,409 (244)
Some of the next articles are maybe not open access.
Blind detection of electronic disguised voice
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013Since voice disguise has great negative impact on establishing authenticity of audio evidence in forensics, and has shown an increasing tendency in illegal applications, it is important to identify whether a suspected voice has been disguised or not. However, research on such detection has not been reported.
Haojun Wu, Yong Wang, Jiwu Huang
openaire +2 more sources
FASR: Effect of voice disguise
2016 International Conference on Emerging Technological Trends (ICETT), 2016Speaker recognition systems based on spectral features perform well in acoustically matched and noise-free conditions. Spectral features are unsuccessful to model information about the speaker at higher levels. Prosody which represents intonation, rhythm and stress of speech, better represents speaker characteristics at higher levels. Voice disguise is
Kesiya Sebastian, Leena Mary
openaire +1 more source
The effects of voice disguise upon formant transition
ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005The second degree polynomial approximation coefficients of formant transition and transition duration, as the speaker specific aspects, have been studied under normal and diguised speech conditions. The speech material in this study consists of 10 segments occuring in a text read by twenty speakers.
Lü Shinan, A. Almeida
openaire +2 more sources
An HASM-Assisted Voice Disguise Scheme for Emotion Recognition of IoT-Enabled Voice Interface
IEEE Internet of Things JournalYan Meng, Yaoxue Zhang, Wenjaun Tang
exaly +3 more sources
Multimedia analysis for disguised voice and classification efficiency
Multimedia Tools and Applications, 2018For multimedia analysis of electronic disguised method is a speech editing process in which the characteristics of voice have been changed. Frequency spectrum characteristics of the speech signal during electronic disguised have also changed. In this paper proposed a method for deriving an algorithm for extracted the efficiency of disguised voice from ...
Mahesh K. Singh +2 more
openaire +1 more source
Speaker Identification for Disguised Voices Based on Modified SVM Classifier
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021Since voice disguise forms a significant threat in the plethora of illegal applications, it is essential to be able to identify the unknown speaker. This work focuses on scheming a modified Support Vector Machine (SVM) as a classifier to enhance the degraded speaker identification performance for disguised voices under an extreme high-pitched condition
Noor Ahmad Al Hindawi +2 more
openaire +1 more source
Identification of voices in electronically disguised speech
International Journal of Speech Language and the Law, 2008We describe an experiment on the effects of electronic vocal disguise on speaker identification. 36 listeners were trained to identify four voices. They then participated in listening tests in which their task was to identify speakers in a set of short stimuli. In the first test the stimuli were natural.
Jessica Clark, Paul Foulkes
openaire +1 more source
An acoustic study on disguised voices
The International Journal of Speech, Language and the Law, 2007Awarding Institution: Nankai University, China Date of Award: June 2005
openaire +1 more source
A report on a voice disguise experiment
The International Journal of Speech, Language and the Law, 1996Voice disguise is potentially present in any speech-specific criminal case. Appropriate methods of analysing and evaluating voice disguise therefore are necessary. An experiment was conducted in which 20 subjects provided samples of their modal as well as disguised voices.
openaire +1 more source
Verification of hidden speaker behind transformation disguised voices
Digital Signal Processing, 2015We investigate the effects of voice transformation disguise on ASV performance.We propose an algorithm to estimate transformation factor.We propose an algorithm to restore the genuine acoustic characteristics.We integrate the above algorithms into GMM-UBM based ASV system.The proposed approach achieves 3-4% EER.
Yong Wang, Haojun Wu, Jiwu Huang
openaire +2 more sources