[PDF] Top 20 Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
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Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... pretense speaker and another one trying to minimize the variation not related to the speaker providing a more stable decision ...the speaker is accepted otherwise it is rejected as shown in ... See full document
5
Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM
... Abstract. Speaker recognition has been long a popular research topic as to identify a specific speaker by his free speech of ...affecting speaker identification hit ...training ... See full document
5
An Overview on Speaker Identification Technologies
... contains speaker-specific source information that can be used for speaker ...less performance, combining it with LPCC improves performance as compared to that of the LPCC ...less ... See full document
10
Multiband Approach to Robust Text-Independent Speaker Identification
... the performance of a speaker identification ...of text-independent speaker ...the independent GMM for each ...better performance than GMM using ... See full document
14
Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification
... A filter bank model and LPC model are widely used as signal processing front end tools for speech processing. The advantage of using filter banks is that they can be designed to cover an analysis band from 150 Hz ... See full document
5
SPEAKER RECOGNITION USING GMM
... of speaker recognition [4], identification and verification, text-independent and text- dependent, each has its own advantages and disadvantages and may requires different ... See full document
9
A Review on Text-Independent Speaker Verification Techniques in Realistic World
... a speaker identification context are MAP adapted to each speaker’s data to create a GMM for that speaker. In the speech recognition context, let us consider that the speech is already split up ... See full document
5
Real Time Speaker Recognition using Mel-Frequency Cepstral Coefficients (MFCC) ,VQLBG & GMM Techniques
... “Text independent speaker identification using the Mel frequency cepstral coefficients and a neural network classifier” First International Symposium on Control, Communications and ... See full document
8
A Tutorial on Text Independent Speaker Verification
... the speaker (under stress or ill), the speaker cooperativeness (does the speaker want to be rec- ognized or does the impostor really want to cheat, is the speaker familiar with the system, and ... See full document
22
Text Dependent Speaker Recognition using MFCC features and BPANN
... Speaker verification/identification tasks are typically a pattern recognition ...in speaker recognition is the extraction of relevant features from the speech data that is used to characterize ... See full document
9
Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... a text independent automatic speaker recognition (ASR) system, based on Mel-Frequency Cepstrum Coefficients (MFCC) and Gaussian Mixture Models (GMM), in or- der to develop a security ... See full document
6
Robust Speaker Identification using Denoised Wave Atom and GMM
... robust text-independent speaker ...a GMM are shown to represent some general speaker ...high identification rates using short utterance from noisy (Natural Noise) ... See full document
7
TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... test independent speaker identification model is developed by using Generalized Gaussian mixture ...The performance of designed model was evaluated with speech database of 40 speakers ... See full document
8
Text Independent Speaker Modeling and Identification Based On MFCC Features
... of speaker-specific information with statistical ...in speaker recognition. The performance obtained with this type of modelling is excellent in laboratories but decreases dramatically for telephone ... See full document
9
Text Independent Speaker Recognition System using GMM
... by using the simulation software Matlab Speaker recognition [4] can be classified into identification and ...verification. Speaker identification is the process of determining ... See full document
5
A database and challenge for acoustic scene classification and event detection
... public evaluation of proposed meth- ods [2, 3, 4], it is evident that there is not yet a coordinated, established, international challenge in this particular area with a thorough set of evaluation metrics ... See full document
6
Text-Dependent Speaker Verification System Using Neural Network.
... is identification of proper features for the recognition task, and the strategy to extract these features from the signal ...Pre-processing using Speech Filling System to extract the feature in a collected ... See full document
7
Spoken Language Identification System using MFCC Features and Gaussian Mixture Model for Tamil and Telugu Languages
... Language identification is a classification problem. In order to discriminate between the spoken languages, the languages must be accurately modeled with parameter estimation. Language modeling is broadly ... See full document
6
Speaker identification system using MFCC procedure and noise reduction method
... Biometric can be defined as study of life which includes humans, animals and plants. The word is taken from the Greek word where ‘Bio’ means life and ‘Metric’ means measure (Quatieri, 2002). It is a system of identifying ... See full document
28
A Multilingual Speaker Verification System: Architecture and Performance Evaluation
... the speaker verifier separately in order to be able to simulate different working conditions and make system design ...recogniser performance is better if we use generic acoustic models that have been ... See full document
6
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