Voice morphing is a technique that modifies a source speaker's speech to sound like a target speaker. It works by preprocessing the speech signals, analyzing pitch and envelope, matching and warping the signals, and re-estimating the signal. This allows for an accurate copy of a person's voice to be made. Voice morphing has applications in text-to-speech systems, public address systems, and special effects. It can also be used to create fake conversations for use in courts or as a battlefield deception tool. The process separates speech into spectral envelope and pitch/voicing information before realigning and recombining the signals.

1. PresentedPresented
ByBy
Sukhbeer KumarSukhbeer Kumar
SupervisedSupervised
ByBy
Rajan sir & praveen SirRajan sir & praveen Sir
Technical Seminar presentationTechnical Seminar presentation
onon
Voice morphingVoice morphing
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2. SEMINAR OUTLINES
•What It is?
•Need of Voice Morphing
•Description the Morphing.
•Technical details of Morphing.
•Application areas.
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3. Voice Morphing
• Transition Phenomenon.
• Technology developed at the Los Alamos
National Laboratory in New Mexico,
USA by George Papcun .
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4. What it actually
performs ?
• It is a technique to modify a source
speaker's speech to sound as if it
was spoken by a target speaker.
• Voice morphing enables speech
patterns to be cloned
– And an accurate copy of a person's voice
can be made that can wishes to say,
anything in the voice of someone else.
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5. Need of voice morphing
• Text To Speech (TTS)
• In public speech systems
• For special effects ( just like video
or image morphing is done ).
• To diminish Ethnical barriers.
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6. Voice Morphing Process
• Preprocessing or representation
conversion.
• Pitch and Envelope analysis.
• Morphing which includes Warping and
interpolation.
• Signal re-estimation.
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7. Block Diagram
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8. Pre-Processing
• Involves processes like signal
acquisition in discrete form and
windowing.
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9. Pitch And Envelope
Analysis
• This process will extract the pitch.
• Formant information in the speech
signal.
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10. Conversion
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11. Matching and Warping
• DTW(Dynamic Time Warping)
- Dynamic Time Warping (DTW) is used to
find the best match between the pitch of the
two sounds.
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12. Signal Re-Estimation
• Loss during Signal re-estimation
- Due to signals being transformation into the
cepstral domain, a magnitude function is used.
This results in a loss of phase information in
the representation of the data.
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13. Summarized Block
Diagram
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14. Limitations
•Lots of normalizing problems.
•Some applications require extensive
sound libraries.
•Different languages require different
phonetics.
•It is very seldom complete.
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15. Advantages
• Allows speech model to be duplicated
and an exact copy of a person’s voice.
• Powerful combat zone weapon.
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16. Disadvantages
• Use to pull out the useful
information.
• It hides the actual identity of the
user.
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17. Conclusion
• The approach we have adopted
separates the sounds into two forms:
- Spectral envelope information
- Pitch and voicing information.
• Dynamic Time Warping
- Aligns the sounds with respect to their
pitches.
• Signal re-estimation algorithm.
- Frames are converted back into a time domain
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18. Application Areas
• Fake telephone conversations as
evidence in courts of law.
• Powerful battlefield weapon.
- Provide fake orders to the enemy's troops,
appearing to come from their own commanders.
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19. Future Scope
• Extending the functionality of tool.
- Create a powerful and flexible morphing
tool.
• Increased user interaction.
- Graphical User Interface could be designed
and integrated to make the package more
‘user-friendly’.
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20. Thank you!!!
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21. Questions??
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