[PDF] Top 20 Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification

... that Bark filters are effective than Mel filters in case of Indian dialect speaker ...of bark scale than mel ...with bark centre frequencies than mel centre ...For ... See full document

... Model, Mel-Frequency Cepstral Coefficients, speaker identification, speaker ...Introduction Speaker recognition can be classified into speaker identification and ... See full document

... the performance of new algorithms on a common dataset is essential to enable meaningful performance ...the evaluation methodology in speaker ...the evaluation, NIST releases a set of ... See full document

... in Speaker Identification System The features are obtained by using two types of filter banks namely the Gaussian Mel scale filter bank (for MFCC) and the Inverted Gaussian Mel ... See full document

... fusion based between MFCC features and their inverse features (IMFCC) for text independent speaker identification by employing the GMM to model ...The ... See full document

... of speaker identification system over additive noise channel is crucial for real-world ...In speaker identification (SID) systems, the extracted features from each speech frame are an ... See full document

... in speaker/speech recognition [Atal 1974, White and Neely ...the mel-frequency cepstral coefficients (MFCCs) [Vergin et ...the mel-scale frequencies. This method is based on the fact ... See full document

... from speaker speech spectra was ...level features for speaker recognition and speech recognition ...signal, based on a linear cosine transform of a long power on a nonlinear ... See full document

... Each speech is framed with 20ms Hamming windows and pre-emphasized filter to lifter the high frequency components, the overlap is 10ms. The silence and un- voiced frames of speeches are removed beforehand. Af- ter ... See full document

... state-of-the-art Mel Frequency Cepstrum Coefficient feature vectors, Gaussian Mixture Models, Vector quantization methods, and combination methods for ...and performance degradation for short audio data ... See full document

... for speaker identification is based on Gaussian Mixture Models (GMM) [3] (a brief description is given in Section ...the speaker recognition research community has been given both on the study ... See full document

... a text-independent speaker identification system based on Mel Frequency Cepstral Coefficients as a feature extraction and Vector Quantization technique that would minimize the ... See full document

... context, speaker recognition techniques are of paramount importance due to their high user acceptance and low required ...are identification techniques designed to recognize individuals in small ...a ... See full document

... of features from MFCCs and Perceptual Linear Predictive Coefficients (PLPC) using ensemble classifiers in conjunction with principal component transformation can significantly improve the performance of the ... See full document

... is based on human hearing perceptions which cannot perceive frequencies over ...is based on known variation of the human ear’s critical bandwidth with frequency ...on Mel Frequency Scale to ... See full document

... (BN) features from deep neural networks (DNNs) trained to discriminate speakers, pass-phrases and triphone states for improving the performance of text-dependent speaker verification ...TCL ... See full document

... losses based on the same DNN described in Section ...embedding scale s to ...recognition performance and the difficulty level of the convergence of the training process, so we tired multiple angular ... See full document

... the speaker verification performance for the aforemen- tioned three different call locations is ...best performance was ob- tained for the ‘outside’ speech, and the worst for the ‘inside’ ...the ... See full document

... CRF. Based on the analogy of moving from GMM to HMM, Gunawardana et ...and speaker recognition [ 18 ] using a MAT2000 database [ 19 ...for speaker modeling but it lacks the structure for modeling the ... See full document

... The global GOF, MDL, and AIC values of the patterns of three typical speakers are plotted versus the model order in Figures 1, 2, and 3, respectively. In the upper subplots of each figure, the speaker GMMs have ... See full document