[PDF] Top 20 Speaker Identification in Network Environment

Speaker Identification in Network Environment

... a speaker in a networking environment. Automatic speaker identification is a fundamental task in speech ...intranet environment involves recording huge volume of data or frames of ... See full document

7

Neural Network Based Missing Feature Method For Text Independent Speaker Identification

... In order to estimate masks without any priority of the noise or prior probability of speech, we use several speech features which can represent the characteristics of speech signal, to describe the effect of noise to ... See full document

5

Multi Lingual Speaker Identification on Foreign Languages using Artificial Neural Network

... itself: Speaker Recognition, Language Recognition and Speech Text Recognition [11, 12, ...14]. Speaker recognition can be separated into two different phases - Speaker Verification and Speaker ... See full document

7

An Overview on Speaker Identification Technologies

... contains speaker-specific source information that can be used for speaker ...contains speaker-specific source information ...in speaker verification ... See full document

10

DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition

... in speaker identification. The use of MFCCs for speaker identification provides a good performance in clean environments, but they are not robust enough in noisy ... See full document

6

Speaker Recognition and Gender Identification using Artificial Neural Network and Support Vector Machine

... the speaker recognition rate to some ...for speaker recognition because of its advantages over the other features and seems difficult to beat in practice ...a speaker model is trained and stored into ... See full document

6

A Review On Speaker Verification: Challenges And Issues

... a speaker. Speaker recognition as a security system is a broad research area in signal processing and pattern ...[1]. Speaker Verification is used in many popular on-site applications like access ... See full document

5

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

... the speaker verification task with DNN and contribute there result to the classification process ...with speaker recognition models like universal background model (UBM) and Gaussian mixture model (GMM) ... See full document

10

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 ... See full document

9

Speaker Localization and Identification: A Survey of techniques

... Multi-layer network (MLP) and network of Deep ...of speaker localization and identification such as ANN that used either in classification or in feature extraction, while the features that ... See full document

11

Speaker Identification using Mel-frequency Cepstrum Coefficient

... every speaker, May be fast, slow, or varying in speed, May have high pitch, low pitch, or be whispered, Has widely-varying types of environmental noise, May not have distinct boundaries between units, has an ... See full document

7

Speaker Identification by using Vector Quantization

... Dr. H. B. Kekre has received B.E. (Hons.) in Telecomm. Engg. from Jabalpur University in 1958, M.Tech (Industrial Electronics) from IIT Bombay in 1960, M.S.Engg. (Electrical Engg.) from University of Ottawa in 1965 and ... See full document

7

Semi-Automatic Forensic Speaker Identification

... Chow and Abdulla also tested the performance using the KING Database (noisy telephone speech, 51 speakers, sampled at 8 KHz, 3 sessions used for training and 2 sessions used for testing), and the YOHO database (telephone ... See full document

105

Speaker Identification System based on PLP Coefficients and Artificial Neural Network

... Speaker recognition is a difficult task. The principle source of variance is the speaker himself/herself. Speech signals in training and testing sessions can be greatly different due to many facts such as ... See full document

6

Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition

... In conventional MLP approach, the NN is fully defined in advance before the training is started. The NN is a layered NN with asymmetric interlayer connections (Figure 2A). The NN contains an input layer, one or more ... See full document

31

A novel noise robust speaker identification system

... envelopes. The National Institute of Standards and Technology (NIST) has conducted a series of speaker recognition evaluations (SRE) since 1996.State-of-the-art systems include joint factor analysis and i-vector ... See full document

6

Kurdish speaker identification based on one dimensional convolutional neural network

... [19]. Speaker recognition can be classified into two parts in term of the data which are text-dependent and ...the speaker says such as password, PIN code and a ...the speaker says ...independent ... See full document

7

Deployment of Query Validation for Finite Range Query Scheme in Wireless Sensor Networks

... The proposed work is efficiently designed for enhancing the query validation process in continuation with an existing identification of mobile replica nodes in finite range query scheme. By validating the query in ... See full document

10

Pitch Correlogram Clustering for Fast Speaker Identification

... total speaker population, that is, level 1 contains M clusters ( M equals the population en- semble size), each with population 1, and level M contains 1 cluster of population ... See full document

10

Bi-level Speaker Identification System: Impac...

... a speaker recognition ...based speaker verification systems when using small speech ...duration speaker recognition systems ...for speaker recognition was considered by a GMM Universal ... See full document

10