Silence Removal and Endpoint Detection of Speech Signal for Text Independent Speaker Identification
نویسندگان
چکیده
منابع مشابه
A New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications
Pre-processing of Speech Signal serves various purposes in any speech processing application. It includes Noise Removal, Endpoint Detection, Pre-emphasis, Framing, Windowing, Echo Canceling etc. Out of these, silence/unvoiced portion removal along with endpoint detection is the fundamental step for applications like Speech and Speaker Recognition. The proposed method uses Probability Density Fu...
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State-of-the-art text independent speaker verification systems use silence/speech detectors to get rid of silence frames which are considered to be non discriminative. This paper explores a possible replacement to this silence/speech detector by considering each Gaussian of a GMM as modeling a specific speech class and by using discriminant models like SVMs and MLPs in order to fuse the corresp...
متن کاملText-Independent Speaker Identification
Speaker identification is a difficult task, and the task has several different approaches. The state of the art for speaker identification techniques include dynamic time warped(DTW) template matching, Hidden Markov Modeling(HMM), and codebook schemes based on vector quantization(VQ)[2]. In this project, the vector quantization approach will be used, due to ease of implementation and high accur...
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Speaker recognition systems employ a speech detection algorithm and use only frames detected as speech for further processing. The accuracy obtained by a speaker recognition system depends on the method that is used to detect speech, in particular for real-life deployments where the incoming speech varies significantly in loudness and noise characteristics. Also, actual deployments mandate real...
متن کاملText-independent Forensic Speaker Identification Using Telephone Speech
On several occasions we have been asked by police officials whether it is feasible for investigative purposes to automatically identify a speaker using speech from intercepted telephone conversations. Since forensic phoneticians are typically not involved in speaker identification but in speaker verification we tend to reformulate this question in : Is it feasible for investigative purposes to ...
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ژورنال
عنوان ژورنال: International Journal of Image, Graphics and Signal Processing
سال: 2014
ISSN: 2074-9074,2074-9082
DOI: 10.5815/ijigsp.2014.06.04