My conference presentation slide for my paper in 16th ICCIT conference, 2013.

1. A Framework for Bangla Text to Speech
Synthesis
Authors
K. M. Azharul Hasan, Muhammad Hozaifa, Sanjoy Dutta, Rafsan Zani Rabbi
Presented By
Sanjoy Dutta
Department of Computer Science & Engineering
Khulna University of Engineering and Technology, Khulna, Bangladesh.
Authors

2. Contents
• Problem Statement
• Factors for Speech Synthesis in Bangla
• Proposed Framework
• Rules and Structure Development
• Syllable Parser Development
• Audio File Selection and Normalization
• Experimental Analysis & Results
• Conclusion
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3. Problem Statement
•Develop a framework for Bangla Text to
Speech Synthesis.
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4. Contents
• Problem Statement
• Factors for Speech Synthesis in Bangla
• Proposed Framework
• Rules and Structure Development
• Syllable Parser Development
• Audio File Selection and Normalization
• Experimental Analysis & Results
• Conclusion
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5. Factors for Speech Synthesis in Bangla
• Sequential flow of diphones
A diphone is a set of two adjacent phonemes where the transition between
two phonemes are modelled, usually from the middle of the first phoneme to
the middle of the second phoneme.
A phoneme is a sound or a group of different sounds perceived to have the
same function by speakers of the language or dialect in question. Like in
English for K/C phoneme: Skill, School.
• Position vs. Pronunciation
Three kinds of position occurs of consonant and vowels:
Constant Vowel(CV)
Vowel Constant(VC)
Vowel Constant Vowel(VCV)
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6. Contents
• Problem Statement
• Factors for Speech Synthesis in Bangla
• Proposed Framework
• Rules and Structure Development
• Syllable Parser Development
• Audio File Selection and Normalization
• Experimental Analysis & Results
• Conclusion
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7. Proposed Framework Structure and
Rules
• Text Normalization:
Transforming text into a single standard form.
Used when converting text to speech, numbers, dates,
acronyms, and abbreviations.
Text Normalization for Position vs. Pronunciation.
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8. Normalization rules for ‘ ’
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9. Normalization rules for ‘ - - -
’
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10. Syllable Parser Development
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11. Syllable Parser In Action
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12. Contents
• Problem Statement
• Factors for Speech Synthesis in Bangla
• Proposed Framework
• Rules and Structure Development
• Syllable Parser Development
• Audio File Selection and Normalization
• Experimental Analysis & Results
• Conclusion
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13. Audio File Selection and Normalization
Total 39 consonants 11 vowels in Bangla
After Reduction
28 independent consonants
8 (the vowel ’ ‘ is the exception) vowel
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14. Audio File Selection and Normalization
Finally
224 (28*8) audio files for the syllables.
28 consonant against 5 vowels to generate
140 (28*5) diphones.
In summary, we need (9 vowels, 28
consonants, 224 syllables and 140 diphones)
401 audio files to be created.
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15. Contents
• Problem Statement
• Factors for Speech Synthesis in Bangla
• Proposed Framework
• Rules and Structure Development
• Syllable Parser Development
• Audio File Selection and Normalization
• Experimental Analysis & Results
• Conclusion
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16. Experimental Analysis and Results
Strategy of Analysis:
Sample Input Test: Various News Articles from News Portals
Listeners Selection: Anonymous Personals Chosen Randomly
Accuracy Analysis:
Accuracy =
𝑊𝑜𝑟𝑑𝑠 𝑙𝑖𝑠𝑡𝑒𝑛𝑒𝑟𝑠 𝑤𝑒𝑟𝑒 𝑎𝑏𝑙𝑒 𝑡𝑜 ℎ𝑒𝑎𝑟 𝑜𝑛 1𝑠𝑡 𝑎𝑡𝑡𝑒𝑚𝑝𝑡 𝑐𝑙𝑒𝑎𝑟𝑙𝑦∗100
𝑇𝑜𝑡𝑎𝑙 𝑁𝑜. 𝑜𝑓 𝑤𝑜𝑟𝑑𝑠 𝑖𝑛 𝑒𝑣𝑒𝑟𝑦 𝑠𝑎𝑚𝑝𝑙𝑒
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17. Experiment Result
Listening Factors:
• Duration Synchronization and
Merging
• Numerical Value like years
Constrains in Sample 1:
‌ , , ,
, , ,
Constrains in Sample 2:
, , , , ,
,
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18. Limitations and Future Works
Detect Noun and Adjective words namely
( ) Noun and
( ) Adjective
both words should follow the rule 3(a) .
But they don't follow the rule 3(a) and their pronunciation is different.
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19. CONCLUSION
We believe the proposed framework can be useful for Bangla TTS
development to detect the Bangla words with minimum audio file
requirement.
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20. Thank You !!!
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