voice morphing-101113123852-phpapp01 (1)

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Presented Presented By By R.Naresh Babu R.Naresh Babu Supervised Supervised By By Mrs.G.Sandhya Madam Mrs.G.Sandhya Madam Technical Seminar Technical Seminar presentation on presentation on Voice morphing Voice morphing 1 VLITS

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Page 1: Voice morphing-101113123852-phpapp01 (1)

PresentedPresentedByBy

R.Naresh BabuR.Naresh Babu

Supervised Supervised ByBy

Mrs.G.Sandhya Mrs.G.Sandhya MadamMadam

Technical Seminar Technical Seminar presentation on presentation on

Voice morphingVoice morphing

1 VLITS

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SEMINAR OUTLINES

•What It is?•Need of Voice Morphing•Description the Morphing.•Technical details of Morphing.•Application areas.

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Voice Morphing

• Transition Phenomenon.

• Technology developed at the Los Alamos National Laboratory in New Mexico, USA by George Papcun .

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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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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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Voice Morphing Process

• Preprocessing or representation conversion.

• Pitch and Envelope analysis.• Morphing which includes Warping

and interpolation.• Signal re-estimation.

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Block Diagram

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Pre-Processing

• Involves processes like signal acquisition in discrete form and windowing.

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Pitch And Envelope Analysis

• This process will extract the pitch.• Formant information in the speech

signal.

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Conversion

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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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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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Summarized Block Diagram

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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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Advantages

• Allows speech model to be duplicated and an exact copy of a person’s voice.

• Powerful combat zone weapon.

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Disadvantages

• Use to pull out the useful information.

• It hides the actual identity of the user.

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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 waveform.

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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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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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Thank you!!!

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Questions??

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