speech independent speaker 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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An Overview on Speaker Identification Technologies
... for speaker recognition task ...speaker recognition. The GMM needs sufficient data to model the speaker, and hence good ...to speaker identification with that of other ...
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Suitable Feature Extraction and Speech Recognition Technique for Isolated Tamil Spoken Words
... Abstract— Speech feature extraction which attempts to obtain a parametric representation of an input speech signal plays a crucial role in the overall performance of an Automatic Speech ...
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Creation and Instigation of Triphone based Big Lexicon Speaker Independent Continuous Speech Recognition Framework for Kannada Language
... the speech and (ii) the expanding computing intensity of present-day ...standard speech and content ...The speech is perceived as text-dependent ...
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Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)
... First a vocabulary of V=10 is selected which have to be recognized. . Here the recordings are done by the talkers from various states of India in order to consider the variations in their accent, which includes Jammu and ...
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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 Xuedong Huang, Fil Alleva, S[.] ...
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Computational differences between whispered and non-whispered speech
... MLLR-based speaker adapted models as opposed to MAP adapted ones when building the subspaces, so MLLR-based eigen- voices were used for experiments ...One speaker is taken out for testing, and the remaining ...
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Text Independent Speech Recognition
... computers. Speaker recognition is the task of automatically recognizing the speaker among several reference speakers using speaker-specific information embedded in speech ...text ...
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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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Speaker recognition with hybrid features from a deep belief network
... on speaker classification ...As speaker recognition is a language independent task, the proposed framework can be extended for speech data of other ...
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Development of a Speaker Independent Speech Recognition System for Remotely Voice Operated Control Systems Teetla Asha & S Ravi Kumar
... Speech recognition or identification system required a "voice reference template" to be created so that it can be compared against subsequent voice ...the speaker must speak a set of phrase a ...
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Data Model Relationship in Text Independent Speaker Recognition
... in speaker recognition, where higher level comprises idiolect, pronunciation, and prosod- ...and speech units well above the atomic level, even though the foundations might well re- main the atomic ...
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Text Independent Speaker Recognition System using GMM
... the speech signal for the speaker recognition [4] task, such as Linear Prediction Coding (LPC), Mel-Frequency Cepstrum Coefficients (MFCC ...the speech signal by estimating the formants, ...
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International Journal of Computer Science and Mobile Computing
... Digits Speech Recognition System Based on Hidden Markov ...words speech recognition and the continuous speech ...successful recognition rates. These recognition rates are ...
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RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS
... a 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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Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition
... this speaker-specific warp factor is often estimated within a small limited range of factor value using maximum likelihood (ML) approach (Umesh, 2011; Lee and Rose, 1996; Lee and Rose, ...significant ...
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Speaker Independent Speech Recognition of Isolated Words in Room Environment
... Acoustic-Mechanical Speech Machine in 1791 ...digit recognition for a single speaker using the measured formant frequencies during vowel regions of each ...1980’s, Speech recognition ...
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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 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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The correlation between auditory speech sensitivity and speaker recognition ability
... in speech or singing to produce good results in both tests, especially in the speech sensitivity ...a speaker and their sensitivity to formal ele- ments of speech seems to be distributed more ...
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Visually Impaired Voting Aids using Speech Processing and face Recognttion
... to detect the human face and match with the data base. Some algorithms identify facial features by extracting landmarks, features, from an image of the subject’s face. For example, an algorithm may analyze the relative ...
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