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VOICE RECOGNITION AMRITA MORE – 416 AASHNA PARIKH - 417
INTRODUCTION ,[object Object],[object Object]
KEY TERMS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
REALIZATION OF MANDARIN SPEECH RECOGNITION SYSTEM USING SPHINX ,[object Object],[object Object],[object Object],[object Object],[object Object]
SPHINX ,[object Object],[object Object],[object Object],[object Object]
OVERALL PROCESSING
FEATURE EXTRACTION ,[object Object],[object Object],[object Object],[object Object],[object Object],Speech Data Feature Extraction Text Data Acoustic Model Recognition Engine Training Language Model output
Improved Acoustic Model Training ,[object Object],Speech Data Feature Extraction Text Data Acoustic Model Recognition Engine Training Language Model output
Language Model Training Text text2wfreq text2idngram Id-N-gram Wfreq2vocab idngram2lm lm3g2dmp vocab arpa.dmp arpa binlm2arpa
POCKET SPHINX ,[object Object],[object Object],[object Object],Language Model Text Data Speech Data Feature Extraction Acoustic Model Recognition Engine Training output
HIDDEN MARKOV MODEL (HMM) ,[object Object],[object Object],[object Object],[object Object]
HMM Background ,[object Object],[object Object],[object Object],[object Object],[object Object]
HMM Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HMM Components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Observable Markov Model Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Rainy Cloudy Sunny Rainy 0.4 0.3 0.3 Cloudy 0.2 0.6 0.2 Sunny 0.1 0.1 0.8
Common  HMM Types ,[object Object],[object Object],[object Object],[object Object]
HMM Advantages ,[object Object],[object Object],[object Object],[object Object],[object Object]
HMM Uses ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE LEXICAL ACCESS COMPONENT OF THE CMU CONTINUOUS SPEECH RECOGNITION SYSTEM ,[object Object],[object Object],EXAMPLES WORD SYLLABIC NUCLEI Cat [kæt] [æ]
Word Hypothesizer System Diagram Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front  End Lattice   Integrator
MATCHING ENGINE ,[object Object],[object Object],[object Object],Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front End Lattice Integrator
THE LEXICON ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front End Lattice Integrator
ANCHOR GENERATION ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front End Lattice Integrator
ANCHORS HAVE BEEN USED IN THE SYSTEM IN 2 MODES: ,[object Object],[object Object],[object Object],[object Object]
COARSE LABELER ,[object Object],[object Object],Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front End Lattice Integrator
PHONETIC LATTICE INTEGRATOR ,[object Object],[object Object],[object Object],Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front End Lattice Integrator
JUNCTION VERIFIER ,[object Object],[object Object],[object Object],[object Object],[object Object],Parser Verifier Coarse labeler Anchor Generator Lexicon Matcher Front End Lattice Integrator
CONCLUSION ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
REFERENCES ,[object Object],[object Object],[object Object]
ANY QUESTIONS....?
THANK YOU....!!

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