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speaker independent name recognition

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 Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Steve Lowe[.] ...

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Speaker Independent Phone Recognition Using BREF

Speaker Independent Phone Recognition Using BREF

... Speaker Independent Phone Recognition Using BREF Speaker Independent Phone Recognition Using BREF Jean Luc Gauvain a n d Lori F L a m e l L I M S I C N R S , B P 133 9 1 4 0 3 O r s a y c e d e x , F[.] ...

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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

... 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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Speaker Independent Phonetic Transcription of Fluent Speech for Large Vocabulary Speech Recognition

Speaker Independent Phonetic Transcription of Fluent Speech for Large Vocabulary Speech Recognition

... SPEAKER INDEPENDENT PHONETIC TRANSCRIPTION OF FLUENT SPEECH FOR LARGE VOCABULARY SPEECH RECOGNITION S P E A K E R I N D E P E N D E N T P H O N E T I C T R A N S C R I P T I O N O F F L U E N T S P E[.] ...

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Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition

Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition

... Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Xuedong Huang, Fil Alleva, S[.] ...

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Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master Slave Architecture

Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master Slave Architecture

... Speech recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable ...speech recognition insist in representing each word by ...

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

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

... This system refers to the area of automatic emotion recognition from speech signals. In this system, an emotional speech database from Myanmar movies is employed. Therefore the noise reduction method is needed and ...

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Speaker Independent Speech Recognition of Isolated Words in Room Environment

Speaker Independent Speech Recognition of Isolated Words in Room Environment

... Abstract — In this paper, the process of recognizing some important words from a large set of vocabularies is demonstrated based on the combination of dynamic and instantaneous features of the speech spectrum. There are ...

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

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 ...

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Creation and Instigation of Triphone based Big Lexicon Speaker Independent Continuous Speech Recognition Framework for Kannada Language

Creation and Instigation of Triphone based Big Lexicon Speaker Independent Continuous Speech Recognition Framework for Kannada Language

... and speaker-versatile training is utilized to develop the DNN based speech recognition ...of speaker-independent, CSR framework for Hindi dialect which comprises of 600 words ...

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Speaker-independent isolated word recognition using multiple hidden Markov models

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

RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS

... speech recognition system is developed using two different feature extraction techniques and a comparative study is carried out for recognizing speaker independent spoken isolated ...for ...

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Speech Recognition in ATMs: Application of Linear Predictive Coding and Support Vector Machines

Speech Recognition in ATMs: Application of Linear Predictive Coding and Support Vector Machines

... speech recognition is still going on and this work is an application of speech recognition for financial transactions in ...speech recognition system is developed using Linear Predictive Coding and ...

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International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... Speech Recognition System Based on Hidden Markov ...speech recognition and the continuous speech ...successful recognition rates. These recognition rates are relatively successful if compared ...

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Speaker Recognition: A Survey

Speaker Recognition: A Survey

... MLP/HMM Speaker Adaptation: The Transformation Network technique employs a trainable linear input network to map the speaker dependent (SD) input vectors to the characteristics of the speaker ...

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Suitable Feature Extraction and Speech Recognition
          Technique for Isolated Tamil Spoken Words

Suitable Feature Extraction and Speech Recognition Technique for Isolated Tamil Spoken Words

... for speaker independent Tamil isolated speech recognition ...speech recognition such as DTW, HMM, MLP, SVM and Decision Tree were implemented with the above feature extraction ...the ...

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Audio Visual Speech Recognition for People with Speech Disorders

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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Robust speaker recognition in presence of non trivial environmental noise (toward greater biometric security)

Robust speaker recognition in presence of non trivial environmental noise (toward greater biometric security)

... Robust Speaker Recognition in presence of non-trivial environmental noise 54 in practice, the features representing the speech signal can be separated into two different ...the recognition process ...

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

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

... Automatic recognition related to the speakers are the process of identifying speech signal with the corresponding ...biometric recognition system ...types: speaker verification and identification. ...

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Systematic Review On Speech Recognition Tools And Techniques Needed For Speech Application Development

Systematic Review On Speech Recognition Tools And Techniques Needed For Speech Application Development

... speech recognition systems. These speech recognition systems exhibits low recognition accuracy, speed, latency, ...speech recognition tools, techniques and ...high recognition accuracy, ...

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