Language to Language TranslationA Way to Homogeneous Team
Language to Language TranslationA Way to Homogeneous Team effort of:Mentor:India... Anasree Prof. K.T.Talele Chatterjee & Diwa Why the system ?? What is language? Need for proper communication Hazards of miscommunication Hence Need for our system Key users of our system Our system
overview.... Any out of 8 languages Hindi English Enjoy the words ! Speak in one language & listen in another language in just 3 steps ! t Inpu ch Spee in is h Engl i d or Hin Speech to Text
Text to Text Bengali text to Bengali speech Text to Speech English or Hindi speech to English or Hindi text e.g. English English text to text of selected output language e.g. Bengali Outp u Spee t ch in 8 Diffe re Lang nt uag
e Voice Input Speech to Text Architecture ! Analog to Feature Phonetic Lexicon Analog to Digital Feature Extraction Language Model Acoustic Model
Speech Engine/Decode r Store Word in a File 1.Voice Input 3.Feature Extracting 2.Analog to Digital Noise Filtering Speech to Text Architecture ! Voice Input Phonetic
Lexicon Analog to Digital Feature Extraction Languag e Model Acoustic Model Speech Engine Store Word in a File Acoustic Model Components of ASR contd.... Audio
Recording Tool CMU Sphinx Train Text Transcription Software Statistical Representations of the Sounds that make up each Word ACOUSTIC MODEL Uses Hidden Markov Model (HMM)
Speech to Text Architecture ! Voice Input Phoneti c Lexicon Phonetic Lexicon Analog to Digital Feature Extraction Languag e Model Acoustic Model Speech
Engine Store Word in a File Components of ASR contd.... Phonetizer Valid words from output of acoustic model Contains words + phonetic PHONETIC LEXICON Phoneme -basic unit of Phonetic
representation of every word in vocabulary Hindi :- Itrans-3 English :phonetics Hindi Speech Hindi Script /UTF8 IT3 to UTF8 Itrans-3 Sound Wave Itrans-3 Phoneme In:d:iyaa / / / /
Paanii / / / / Phonem e Hindi.dic Hindi Word In:d:iyaa / / // Paanii / / / / English Speech word Sound Wave Pocket Sphinx
Phoneme SphinxTrain Phoneme Cmu07.di c Word English Speech to Text Architecture ! Voice Input Analog to Digital Feature Extraction Language Model
Phonetic Lexicon Acoustic Model Speech Engine Store Word in a File Languag e Model Components of ASR contd.... Captures underlying grammatical structure of language. Most common language models
n-gram LM Tool LANGUAGE CMUCLMTK Statistical Language MODEL Model assigns probability to sequence of m words by probability distribution. USE:Restrict Word Search Steps of Language Create Model:Word frequencie s CORPUS.TXT
Vocabulary file Corpus N-gram file Language Model in .ARPA format CMU Cam LM TOOL KIT CORPUS.ARPA .ARPA File Speech to Text Architecture ! Voice Input Phonetic
Lexicon Analog to Digital Feature Extraction Languag e Model Acoustic Model Speech Engine Store Word in a File Speech Engine Components of ASR contd....
Aspects of Speech Decoding Modified Version DTW Algorithm used Compares input speech data with acoustic models Determine which part of signal is speech and filter out silence durations Uses SPEECH ENGINE / DECODER
Tool CMU Sphinx-PocketSphinx Samples of PocketSphinx acting as a Decoder.... Text to Text Architecture Retrieve Stored Word from File E.g. India FIND RETRIVE Database Script of Word in Selected Language E.g. /
/ / / Use & Creation of Database! Text to Speech Architecture ! Phonetic Synthesizer Text parser Input Text in UTF8 Encodings Text to Phonetic Script Conversion Speech Synthesizer CV Pair Algorithm Sound concatenation
Grapheme To Phoneme Rules Sound Database Speech Grapheme to Phoneme Conversion ! Phonetic description syllable based. 8 kinds of sounds allowed V: a plain vowel CV: a consonant followed by a vowel VC: a vowel followed by a consonant CVC: a consonant followed by a vowel followed by a consonant
HCV: a half consonant, followed by a CV HCVC: a half consonant, followed by a CVC 0C: a consonant alone G[0-9]*: a silence gap of the specified length (typical gaps (C -consonant, V -Vowel, H-Half Sound) Consonants & Vowels ! VOWELS :CONSONANTS :- Text to Speech Architecture ! Phonetic Synthesizer Text parser Input Text in UTF8 Encodings Text to Phonetic Script Conversion
Speech Synthesizer CV Pair Algorithm Sound concatenation Grapheme To Phoneme Rules Sound Database Speech Text to Phonetic Script ! Unicode text common script. Speech Synthesizer common script Words in Hindi
pHr2n HCVC aadesh 2 d8sh CVC 0C 0C andaaz 1n d2z VC CVC ahimsa 1 h3n s2 V CVC CV Text to Speech
Architecture ! Phonetic Synthesizer Text parser Input Text in UTF8 Encodings Text to Phonetic Script Conversion Speech Synthesizer CV Pair Algorithm Sound concatenation Grapheme To Phoneme Rules Sound Database
Speech Sound Database ! Sound files are gsm compressed i.e. .gsm fromat Sound units stored in the database are: CV pairs VC pairs V C Halfs gr :--- 1..33 * 2 4 6 8 9 10 12 13 14 15 :--- 2 4 6 8 9 10 12 13 14 15 * 1..34 :--- 1..14 :--- 1..34 :--- ky kr kl kll kv ksh khy khr khl khv gy gl gv gn ghy ghr ghv ghn chy chr chv jy jv ty tr tv thy thr dy dr dv dhy dhr dhv ny nr nv tty ttr ttv ddy ddr ddv py pr pl pll fr fl by br bl bhy bhr bhl my mr vy vr vl
Total size of db --- 1 MB Sound Concatenation CV files named consonan t number named V files x.y.gsm vowel number x.gsm CV files
named consonan t number vowel number Halfs files named vowel number 0C files named consonan t number
x.y.gsm x.y.gsm 2 consonants x.gsm 4 more Files cvoffsets vcoffsets voffsets hoffsets Text to Speech Architecture ! Phonetic Synthesizer Text parser Input Text in
UTF8 Encodings Text to Phonetic Script Conversion Speech Synthesizer CV Pair Algorithm Sound concatenation Grapheme To Phoneme Rules Sound Database Speec h Extended modules:-
S2T T2S Constr aints :Future scope :- T2T File Reader S2T Reporter Training is tedious : 2 input Languages. Phone generation of all Indian languages difficult.
Can be trained for all Indian languages Increase accuracy Better quality of the text to speech synthesizer modules A larger dictionary approx. 2000-3000 words BOL INDIA BOL PRIVATE LIMITED Masters of Computer Application. Sardar Patel Institute Of Technology. Anasree Chatterjee (Director)
Diwa Arunashree (West) (Director) Mumbai-58 Andheri Prof. K.T.Talele (Joint Director) Shivani Nadkarni (Joint Director) Aditya Naravane (Joint Director) Language to Language Translator A way To Homogeneous India Languator -- especially designed for the 3Ts that is Travelers, Tourists and at pars the people who are victims of Transferable jobs. It will also serve to certain extent the needs of S2T Reporters.
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