speaker-independent recognition performance
Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition
... phoneme recognition performance as phonemes are too fragile in spectrum form (Salam, Mohamad and Salleh, ...high performance ASR, especially speaker-independent mode ASR ...and ...
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Audio Visual Speech Recognition for People with Speech Disorders
... automatic recognition of speech disorders have been done ...speech recognition system of disorders in continuous speech using Artificial Neural Network (ANN) ...the speaker independent (SI) ...
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Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier
... ABSTRACT: Recently, attention of the emotional speech signals research has been boosted in human machine interfaces due to availability of high computation capability. There are many systems proposed in the literature to ...
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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 ...triple ...
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Suitable Feature Extraction and Speech Recognition Technique for Isolated Tamil Spoken Words
... overall performance of an Automatic Speech Recognition (ASR) ...speech recognition system based on various ...the performance of gammatone filter bank features with the conventional feature ...
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Speaker Independent Speech Recognition of Isolated Words in Room Environment
... speech recognition system must be trained with enough feature data to make it much capable of ...system performance rate, the trained system has been tested many times by many speakers in order to find out ...
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Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master Slave Architecture
... is speaker independent recognition of vowels of British ...recognize speaker independent eleven steady state vowels of British ...the recognition task on both sequential and ...
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Creation and Instigation of Triphone based Big Lexicon Speaker Independent Continuous Speech Recognition Framework for Kannada Language
... accurate recognition of speech and in precise, continuous speech recognition (CSR) based on triphone modelling for Kannada ...The performance evaluation of both monophone and triphone models ...
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Data Model Relationship in Text Independent Speaker Recognition
... their performance as a function of training data is now consid- ...hypothetical performance of three speaker recognition systems which differ only in the quantity of data that is used for model ...
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On the Use of Complementary Spectral Features for Speaker Recognition
... for speaker recognition in undistorted conditions ...the performance characteristics of these spectral fea- tures under noisy ...robust speaker mod- els for noisy conditions. To evaluate the ...
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Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... 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 control access ...
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Speaker-independent isolated word recognition using multiple hidden Markov models
... Consideration of the speech production process suggests that Gaussian mixture models offer a good description, and the EM algorithm is an effective classification me[r] ...
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RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS
... Speech recognition is basically a pattern recognition ...Pattern recognition is becoming increasingly important in the age of automation and information handling and ...pattern recognition, ...
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Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... the speaker based CMS when compared with the conversational speech based ...The performance of CMS is higher than RASTA when applying channel normalization ...
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Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition
... Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Steve Lowe[.] ...
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Speech Recognition in ATMs: Application of Linear Predictive Coding and Support Vector Machines
... Voice recognition service can be used to authenticate customers based on their speech patterns or can recognize the speech samples which allows them to execute banking transactions through the ...voice ...
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Systematic Review On Speech Recognition Tools And Techniques Needed For Speech Application Development
... speech recognition system are not near ...speech recognition technologies (tools, techniques, algorithms, or approaches) needs to be reviewed and studied so as to have a deep insight into their steps, ...
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Speaker Recognition: A Survey
... 331 In this work, experiments use manually-annotated eye positions. The resulting image is 64 _ 80 pixels with a distance between the eyes of 33 pixels, where the two eyes are aligned on the horizontal axis and the ...
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Efficient Low rank Multimodal Fusion With Modality Specific Factors
... However, a core research challenge yet to be solved in this domain is multimodal fusion. The goal of fusion is to combine multiple modalities to leverage the complementarity of heterogeneous data and provide more robust ...
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Acoustic Modeling of Subword Units for Large Vocabulary Speaker Independent Speech Recognition
... ACOUSTIC MODELING OF SUBWORD UNITS FOR LARGE VOCABULARY SPEAKER INDEPENDENT SPEECH RECOGNITION A C O U S T I C M O D E L I N G O F S U B W O R D U N I T S F O R L A R G E V O C A B U L A R Y S P E A K[.] ...
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