[PDF] Top 20 A novel noise robust speaker identification system
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A novel noise robust speaker identification system
... the noise robustness of GFCC and MFCC ...the noise robustness ...combined system in this chapter significantly outperforms the individual modules ... See full document
6
Text Independent Speaker Modeling and Identification Based On MFCC Features
... of speaker-specific information with statistical ...particular speaker, whereas they can be non-informative for another ...for speaker-specific processing and for adaptability to the environment ... See full document
9
Evaluation of a speaker identification system with and without fusion using three databases in the presence of noise and handset effects
... the system could be improved using fusion; however, no tests for realistic noise were ...achieve robust speaker identification and mitigate room reverber- ation and additive ... See full document
17
Improving speaker identification in noise by subband processing and decision fusion
... achieve robust rec- ognition in the face of ...any noise contaminating one or more of the partial ...subband speaker identifica- tion in which narrowband noise is added to test ... See full document
7
Robust Speaker Identification using Denoised Wave Atom and GMM
... filtering noise by applying single band low filter to speech in order to remove high frequencies which may cause noise, this may be unfair and cause damage to some parts of important data so many studies ... See full document
7
Spectral Restoration Based Speech Enhancement for Robust Speaker Identification
... of system and avoid the frame delay ...background noise and to improve identification rates of speaker identification systems in presence of background ...enhancement system; ... See full document
6
Robust speaker recognition in presence of non trivial environmental noise (toward greater biometric security)
... of speaker recognition have been conducted for more than five decades, and this field is still an active area of speech signal processing (Furui, 2005, Nengheng, ...in speaker recognition has used a ... See full document
248
Speaker Identification Based Speaker Segmentation for Meeting Data
... The first step in any automatic speaker recognition system is to extract features i.e. identify the components of the audio signal that are good for identifying the linguistic content and discarding all ... See full document
8
Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance
... based speaker recognition has been studied in ...on speaker recognition systems using Gaussian mixture models (GMM), hidden Markov models (HMM) and quantization models (VQ) has been tackled in ...[1]. ... See full document
6
Robust Time-Varying Kalman State Estimators with Uncertain Noise Variances
... for system with unknown but deterministic model parameters and/or noise variances is different from the robust Kalman filtering [1-8], because it only handle one system model with unknown ... See full document
16
Biomimetic multi-resolution analysis for robust speaker recognition
... as noise level increases, indicating their ...each noise type and trial condition is shown in Table ...all noise types), the cortical- features-based system yields ...the robust ... See full document
10
Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions
... dependent speaker identification system has been proposed in noisy ...The identification process incorporates the Neuro- Genetic hybrid algorithm with cepstral based ...background noise ... See full document
6
Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language
... a novel approach of automatic speaker recognition technology, with an emphasis on text-dependent speaker ...recognition. Speaker recognition has been studied actively for several ...fact, ... See full document
5
Computationally Efficient and Robust BIC-Based Speaker Segmentation
... generic, speaker-independent model, which is progressively adapted into a specific speaker-dependent ...a speaker utterance is projected onto a subspace of reference speakers ...in speaker ... See full document
31
Multiband Approach to Robust Text-Independent Speaker Identification
... a speaker identification ...spread noise distortions over the entire feature ...the speaker identification is evaluated in the presence of clean and noisy ...Keywords: speaker ... See full document
14
Speaker Identification System based on PLP Coefficients and Artificial Neural Network
... For a small number of neurons (5 to 10) in the hidden layer we observed large MSE, solow accuracy. The MLP generalize poorly. After ~25 neurons, MSE came back to the levels of a system with only 5 neurons in the ... See full document
6
Speaker Recognition and Gender Identification using Artificial Neural Network and Support Vector Machine
... a speaker recognition system depends on extracting the right speaker dependent features which should be invariant in the articulation ...same speaker, it must be robust against ... See full document
6
Speaker identification system using MFCC procedure and noise reduction method
... similar system has been developed by other researcher. Each system has its own method as well as advantages and ...Each system has the same ...security system based on Biometric Recognition, ... See full document
28
Speaker Identification System using Wavelet Transform and VQ modeling Technique
... in speaker identification system as the success of these systems is dependent on the robust features extracted from speech ...based system have good performance in speaker ... See full document
5
Combination of Features for Multilingual Speaker Identification with the Constraint of Limited Data
... a novel algorithm for multilingual speaker recognition using neural networks with the back prop- agation ...tilingual speaker recognition system for eight Indian languages (Hindi, English, ... See full document
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