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Voice Conversion Algorithm based on Spectral Envelope Mapping and Residual Prediction
eagle-i ID
http://ohsu.eagle-i.net/i/0000013b-1f29-7ddc-c825-3bd680000000
Resource Type
Properties
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Resource Description
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"The purpose of a voice conversion (VC) system is to change the perceived speaker identity of a speech signal. We propose a new algorithm based on converting the LPC spectrum and predicting the residual as a function of the target envelope parameters. We conduct listening tests based on speaker discrimination of same/difference pairs to measure the accuracy by which the converted voices match the desired target voices. To establish the level of human performance as a baseline, we firstmeasure the ability of listeners to discriminate between original speech utterances under three conditions: normal, fundamental frequency and duration normalized, and LPC coded. Additionally, the spectral parameter conversion function is tested in isolation by listening to source, target, and converted speakers as LPC coded speech. The results show that the speaker identity of speech whose LPC spectrum has been converted can be recognized as the target speaker with the same level of performance as discriminating between LPC coded speech. However, the level of discrimination of converted utterances produced by the full VC system is significantlybelow that of speaker discrimination of natural speech."
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Used by
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Center for Spoken Language Understanding
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Related Publication or Documentation
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Design and Evaluation of a Voice Conversion Algorithm based on Spectral Envelope Mapping and Residual Prediction
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Developed by
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Kain, Alexander, Ph.D.
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Developed by
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Macon, Michael W.