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Tags: Voice, Morphing, Voice Morphing, voice morphing freeware, voice morphing for mac, voice morphing free download, second life voice morphing feature, voice morphing audacity, voice morphing applications, voice morphing algorithm, voice morphing abstract, voice morphing advantages, voice morphing download, g35 voice morphing download, voice morphing and recording system, voice morphing algorithms, voice morphing bee, voice morphing benefits, voice morphing codes, voice morphing diagram, free voice morphing downloads,
 
 
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Voice Morphing
Post: #1
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Voice Morphing

Voice morphing means the transition of one speech signal into another. Like image morphing, speech morphing aims to preserve the shared characteristics of the starting and final signals, while generating a smooth transition between them. Speech morphing is analogous to image morphing. In image morphing the in-between images all show one face smoothly changing its shape and texture until it turns into the target face. It is this feature that a speech morph should possess. One speech signal should smoothly change into another, keeping the shared characteristics of the starting and ending signals but smoothly changing the other properties. The major properties of concern as far as a speech signal is concerned are its pitch and envelope information. These two reside in a convolved form in a speech signal. Hence some efficient method for extracting each of these is necessary.

We have adopted an uncomplicated approach namely cepstral analysis to do the same. Pitch and formant information in each signal is extracted using the cepstral approach. Necessary processing to obtain the morphed speech signal include methods like Cross fading of envelope information, Dynamic Time Warping to match the major signal features (pitch) and Signal Re-estimation to convert the morphed speech signal back into the acoustic waveform.Speech morphing can be achieved by transforming the signal's representation from the acoustic waveform obtained by sampling of the analog signal, with which many people are familiar with, to another representation. To prepare the signal for the transformation, it is split into a number of 'frames' - sections of the waveform.

The transformation is then applied to each frame of the signal. This provides another way of viewing the signal information. The new representation (said to be in the frequency domain) describes the average energy present at each frequency band. Further analysis enables two pieces of information to be obtained: pitch information and the overall envelope of the sound. A key element in the morphing is the manipulation of the pitch information. If two signals with different pitches were simply cross-faded it is highly likely that two separate sounds will be heard. This occurs because the signal will have two distinct pitches causing the auditory system to perceive two different objects.
Post: #2
please read https://seminarsprojects.net/Thread-voic...ull-report for getting full report of voice morphing
Post: #3
plz send ppt of voice morphing
 

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