text-dependent speaker identification
Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions
... in speaker identification that employ hybrid strategies can potentially offer significant advantages over single-strategy ...the text dependent speaker identification system ...
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Comparative evaluation of different HFCC filter bank using Vector Quantization (VQ) approach based text dependent speaker identification system
... Human Factor Cepstral Coefficients (HFCCs) is considerate as the new feature extraction technique that attempts to approach the behavior of the human auditory system in order to achieve the most reliable speaker ...
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Text Dependent Speaker Identification using Hidden Markchov Model and Mel Frequency Cepstrum Coefficient
... In the training phase actually a reference model is built for a particular speaker and compared that stored reference model against the input speech by evaluating scores using HMM and sp[r] ...
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Text Dependent Multilingual Speaker Identification using Learning Vector Quantization and PSO GA Hybrid Model
... The speaker identification system can again classified into two groups- Text dependent and text ...The Speaker identification is task of finding identity of an individual ...
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Text-Dependent Speaker Verification System Using Neural Network.
... 44 The basic problem with Speech/Voice recognition is identification of proper features for the recognition task, and the strategy to extract these features from the signal [8]. Feature extraction involves ...
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Comparison of multilayer and radial basis function neural networks for text dependent speaker recognition
... Text-dependent speaker recognition can be divided into two categories: verification and ...In speaker verification, the object is to confirm a person’s identity using their ...supposed ...
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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... III. SPEAKER IDENTIFICATION MODEL WITH GENERALIZED GAUSSIAN DISTRIBUTION In this section we describe the speaker identification ...proposed text independent speaker ...
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Text Dependent Speaker Recognition using MFCC features and BPANN
... Out of 10 speech samples recorded for each speaker, 5 samples are taken for feature extraction and training. i.e., the input data size for training the network is of size 200 × 65 for a cluster size of 5. ANN is ...
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On the Determination of Optimal Model Order for GMM Based Text Independent Speaker Identification
... Gaussian mixture models (GMMs) are recently employed to provide a robust technique for speaker identification. The determi- nation of the appropriate number of Gaussian components in a model for adequate ...
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Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language
... each speaker were calculated separately and ...each speaker to reach same size, but after estimation the codewords of all speakers independently, we may have L non-equal code lengths as a result of which ...
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PROSODIC FEATURE BASED TEXT DEPENDENT SPEAKER RECOGNITION USING MACHINE LEARNING ALGORITHMS
... the text must be the same for enrollment and recognition then it is called text-dependent ...a text dependent speaker recognition system, individual presents a fixed password or ...
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Speaker Identification System using Wavelet Transform and VQ modeling Technique
... Speaker identification is the task of determining who is talking from a set of known voices or ...the speaker identification system, an unknown speaker’s speech signal is analyzed and compared ...
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Text Independent Speaker Modeling and Identification Based On MFCC Features
... automatic speaker recognition technology, with an emphasis on text- independent ...recognition. Speaker recognition has been studied actively for several ...automatic speaker recognition, ...
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An Overview on Speaker Identification Technologies
... the text-dependent template ...generating speaker-based vector quantization (VQ) codebooks for speaker ...for text-dependent speaker recognition is the HMM technique which ...
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Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... into speaker identification and verification. Speaker identification is the process of determining which registered speaker provides a given utterance ...the speaker without any ...
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Speaker Identification in Network Environment
... [7]. Speaker identification has recently become an important research and development ...[4]. Speaker identification can be classified into two types, based on ...for identification, ...
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Speaker identification system using MFCC procedure and noise reduction method
... with identification system nowadays is that the system can easily be ...biometric identification which is unique from everyone else, there are still ways to fool the ...fingerprint identification, it ...
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Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification
... However, the frequency warping scales such as Bark scale and ERB scale are less studied in speaker recognition systems. The critical band i.e. bandwidth at which subjective response such as loudness perceived ...
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Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... The first step of missing feature methods in text-independent speaker identification is to identify highly cor- rupted spectrographic representation of speech as missing feature. Most mask estimation ...
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Multimodal Speaker Verification Based on Electroglottograph Signal and Glottal Activity Detection
... It is possible to accomplish robustness by the utilization of other sensing modalities to complement the audio signal of speech. As a matter of fact, in almost every context, carefully designed multimodal interfaces ...
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