PRESENTED BY OMKAR PUND. VIKRAM RAJIVADE. SHAILESH RASKAR

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PRESENTED BY OMKAR PUND. VIKRAM RAJIVADE.
SHAILESH RASKAR

• DR.D.Y.PATIL POLYTECHNIC, AMBICOMPUTER
  DEPARTMENT
• TOPIC
• VOICE MORPHING

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CONTENTS

• WHAT IS VOICE MORPHING ?
• APPROACHS TO THE PROBLEM.
• SPEECH PRODUCTION.
• CONVERSION OF VOICE.
• TYPES OF VOICE MORPHING.
• REFRANCES OR METHODS.
• APPLICATION OF VOICE MORPHING.
• AVAILABLE SOFTWARE FOR VOICE MORPHING.
• SUMMARY.
• CONCLUSION.

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WHAT IS VOICE MORPHING ?

• Voice Morphing which is also referred to as voice
  transformation and voice conversion is a
  technique to modify a source speaker's speech
  utterance to sound as if it was spoken by a
  target speaker.
• There are many applications which may benefit
  from this sort of technology. For example, a TTS
  system with voice morphing technology integrated
  can produce many different voices. In cases where
  the speaker identity plays a key role, such as
  dubbing movies and TV-shows, the availability of
  high quality voice morphing technology will be
  very valuable allowing the appropriate voice to
  be generated (maybe in different languages)
  without the original actors being present.

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APPROACHS TO THE PROBLEM

• Voice conversion will be performed in two phases.
• In the first phase, the training, the speech
  signals of the source and target speakers will be
  analyzed and the voice characteristics will be
  extracted by means of a mathematical optimization
  technique, very popular in the speech processing
  world, the Linear Prediction Coding (LPC)
  technique.

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APPROACHS TO THE PROBLEM

• In second phase , the transformed features will
  be used in order to synthesis speech that will,
  hopefully, resemble that of the target speaker.
• Speech synthesis will be performed again by means
  of the Linear Prediction Coding.

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Speech production

• The respiratory subsystem is composed of the
  lungs, trachea and windpipe, diaphragm and the
  chest cavity.
• The larynx and pharyngeal cavity or throat
  constitutes the laryngeal subsystems.
• The articulatory subsystem includes the oral
  cavity and the nasal cavity.

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Speech production

• The oral cavity is comprised of the velum, the
  tongue, the lips, the jaw and the teeth.
• In speech processing technical discussions, the
  vocal tract is referred to as the combination of
  the larynx, the pharyngeal cavity and the oral
  cavity.
• The respiratory subsystem behaves like an air
  pump, supplying the aerodynamic energy for the
  other two subsystems.
• In speech processing, the basic aerodynamic
  parameters are air volume, flow, pressure and
  resistance.

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Conversion of voice

• TECHNICS-
• Wavelet Decomposition.
• Proposed model.
• Wavelet Decomposition -
• Wavelets are a class of functions that
  possess compact support and form a basis for all
  finite energy signals.
• They are able to capture the non-stationary
  spectral characteristics of a signal by
  decomposing it over a set of atoms which are
  localized in both time and frequency. The DWT
  uses the set of dyadic scales and translates of
  the mother wavelet to form an orthonormal basis
  for signal analysis.

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example

• The original signal S is split into an
  approximation cA1 and a detail cD1.
• The approximation is then itself split into an
  approximation and a detail and so on.
• Decomposing a signal into k levels of
  decomposition therefore results in k1 sets of
  coefficients at different frequency resolutions,
  k levels of detail and 1 level of approximation
  coefficients.

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Conversion of voice

• Proposed model
• Voice morphing is performed in two steps
  training and transformation. The training data
  consist of repetitions of the same phonemes
  uttered by both source and target speakers.
• The source and target training data is divided
  into frames of 128 samples and the data is
  randomly divided into training and validation
  sets.
• A 5-level wavelet decomposition is then performed
  to the source and target training data.

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Types of voice morphing

• IN THIS SECTION WE KNOW THAT IN WHICH FORM WE
  CAN TRANFORM A NORMAL VOICE OR SPEECH.

SOURCE TARGET RESULT1 RESULT2
F TO M SPEECH1 TARGET1 RESULT1 VOICE1
M TO F SPEECH2 TARGET2 RESULT2 VOICE2
F TO F SPEECH3 TARGET3 RESULT3 VOICE3
M TO M SPEECH4 TARGET4 RESULT4 VOICE4
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Types of voice morphing

• The "Source Speech" column indicates the
  utterances of the source speaker.
• Target Speech" column is the target speaker's
  utterances.
• The utterances in both these two columns are NOT
  included in the training data for the estimation
  of the conversion function.
• The next two columns for result.
• The difference between these two columns is that
  the RESULT1" applies the target prosody
  extracted from the target utterance, but the
  RESULT2" still applies the original prosody of
  the source utterances.

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REFRANCES OR METHODS.

• Abe M. , Nakamura S. , Shikano K. and Kuwabara
  H. Voice conversion through vector quantization,
  Proceedings of the ICASSP, 1988.
• Stylianou Y., Cappe O. And Moulines E.
  Statistical Methods for Voice Quality
  Transformation, Proceedings of Euro speech, 1995.
• Arslan L. and Talkin D Voice Conversion by
  Codebook Mapping of Line Spectral Frequencies and
  Excitation Spectrum, Proceedings of Euro speech ,
  1997.

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APPLICATION OF VOICE MORPHING

• ENTERTAINMENT.
• IN FILM INDUSTRY.
• SECURITY.
• IN COMPUTER GAMING

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AVAILABLE SOFTWARE FOR VOICE MORPHING .

• MORPH VOX PRO VOICE CHANGER 2.0.6.
• MORPH VOX PRO VOICE CHANGER 4.2.2.
• MORPH VOX PROVOICE CHANGER 4.3.8.
• TERA VOICE SERVAER 2004.
• FLASH VOICE BUTTONS 3.0.
• VOICE TWISTER 1.0.4.
• VOICE AGAIN 1.5.2.
• QUICK VOICE FOR OSX 2.2.0.
• QUICK VOICE FOR WINDOWS 2.2.0.

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SUMMARY.

• Voice morphing is the process of changing voice
  personality i.e. speech uttered by a source
  speaker is modified to sound as if the target
  speaker had uttered it.
• In this dissertation our attempt of voice
  morphing commenced by introducing the basic
  properties of speech signals.
• Introducing basic techniques of voice morphing.
• Concept behind voice morphing.

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CONCLUSION.

• As voice morphing is
  a technology with a lot of interesting, useful
  and fun applications further research on the
  subject with or without the implementation of the
  GTM (Generative Topographic Mapping) model is
  bound to follow that will lead to the production
  of morphed speech of an excellent quality.

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thankyou