[PDF] Top 20 Data Model Relationship in Text Independent Speaker Recognition

Data Model Relationship in Text Independent Speaker Recognition

... of data, particu- larly training ...training data is now consid- ...three speaker recognition systems which diﬀer only in the quantity of data that is used for model ...of ... See full document

11

An Overview on Speaker Identification Technologies

... the text-dependent template ...template model and the input sequence of feature vectors from the testing-speech ...generating speaker-based vector quantization (VQ) codebooks for speaker ... See full document

10

TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS

... in data, and expressing data in a manner which highlights their similarities and ...of speaker‟s speech recognition. In this paper text independent speaker identification ... See full document

8

On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation

... difference hybrid pattern classification approach for text independent speaker identification.. system; in these approaches, we combined a hybrid decision tree, GMM and VQ model.[r] ... See full document

15

Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM

... the model using Gaussian mixture components as 16 for training speech lengths as ...Here, recognition rate is defined as the ratio of the number of speaker identified to the total number of speakers ... See full document

5

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT TEXT-INDEPENDENT SPEAKER RECOGNITION USING GAUSSIAN MIXTURE MODEL Mamta Saraswat Tiwari

... hypothesized speaker model was adapted from the UBM, however, allows a faster scoring method than merely evaluating the two GMMs as in ...adapted speaker model to evaluate the speaker’s ... See full document

13

Multiband Approach to Robust Text-Independent Speaker Identification

... are multifold and have been described in earlier publications [Bourlard and Dupont 1996, Tibrewala and Hermansky 1997, Mirghafori and Morgan 1998]. The major drawback of a pure subband-based approach may be that ... See full document

14

On the Determination of Optimal Model Order for GMM Based Text Independent Speaker Identification

... the speaker identification algorithm is text-independent, the five recorded utterances are com- pletely ...each speaker are grouped into ... See full document

10

Text Independent Speech Recognition

... the speaker identification task, a speech utterance from an unknown speaker is analyzed and compared with speech models of known ...unknown speaker is identified as the speaker whose ... See full document

5

Text Independent Speaker Modeling and Identification Based On MFCC Features

... of text-independent speaker recognition: From features to ...of speaker recognition and their effect on forensic human and automatic speaker ...automatic speaker ... See full document

9

Speaker Recognition using Gaussian Mixture Model

... Abstract- Speaker recognition is a term which is most popular in biometric recognition technique that tends to identify and verify a speaker from his/her speech ...data. Speaker ... See full document

6

Audio Visual Speech Recognition for People with Speech Disorders

... Speech recognition of disorder people is a difficult task due to the lack of motor-control of the speech ...speech recognition can be used to enhance the robustness of disordered ...speech ... See full document

6

PLDA in the i-supervector space for text-independent speaker verification

... The experiments were carried out using the following hardware configuration: Centos 6.4 system, Intel Xeon processor E5-2687w (8-core, 3.1 GHz/core) with 128 GB memory. We compared the total time and the real-time factor ... See full document

13

Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition

... in speaker independent speech recognition system is to compensate speaker ...variability. Speaker variability is usually related to the physical difference in vocal tract ...specific ... See full document

30

AUTOMATED SPEAKER RECOGNITION METHODS: A CRITICAL REVIEW

... of speaker identification and ...the speaker identification ...training data, unbalanced text, background noise and non-cooperative ...normalization, model-domain compensation and score ... See full document

6

A Review on Text-Independent Speaker Verification Techniques in Realistic World

... (ML) level. The basic idea is to adapt the UBM to each context-dependent phone rather than to each speaker. The context-dependent phones are not an unstructured collection of phones but are related via a tree ... See full document

5

Text Independent Speaker Recognition System using GMM

... a speaker recognition [4] program in Matlab. Speaker recognition [4] systems can be characterized as text-dependent or text- ...latter, text- independent, meaning ... See full document

5

Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM

... The purpose of this study is to identify speaker of text-independent in a faster way. To achieve the purpose, the research process of this study composed by three steps. First step, Front-end signal ... See full document

5

A Tutorial on Text Independent Speaker Verification

... the speaker model is trained independently of the background ...background model as covering the space of speaker-independent, broad acoustic classes of speech sounds, then adaptation ... See full document

22

Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier

... This paper used Myanmar speech dataset created by ourselves. Data collection is carried out from Myanmar movies by using Sony Sound Forge Pro 10. The emotion speech file is recorded in WAV file (16 bits, mono) ... See full document

8