Abstract
In the present work, we introduce a new performance evaluation measure for assessing the capacity of voice conversion systems to modify the speech of one speaker (source) so that it sounds as if it was uttered by another speaker (target). This measure relies on a GMM-UBM-based likelihood estimator that estimates the degree of proximity between an utterance of the converted voice and the predefined models of the source and target voices. The proposed approach allows the formulation of an objective criterion, which is applicable for both evaluation of the virtue of a single system and for direct comparison (benchmarking) among different voice conversion systems. To illustrate the functionality and the practical usefulness of the proposed measure, we contrast it with four well-known objective evaluation criteria.
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References
Abe, M., Nakamura, S., Shikano, K., Kuwabara, H.: Voice conversion through vector quantization. In: Proc. ICASSP 1988, USA, pp. 655–658 (1988)
Kreiman, J., Papcun, G.: Comparing, discrimination and recognition of unfamiliar voices. Speech Communication 10(3), 265–275 (1991)
Methods for subjective determination of transmission quality, Tech. Rep. ITU-T Recommendation P.800, ITU, Switzerland (1996)
Arslan, L.M.: Speaker transformation algorithm using segmental codebooks (STASC). Speech Communication 28(3), 211–226 (1999)
Kain, A.: High resolution voice transformation. Ph.D. dissertation, OGI, Portland, USA (2001)
Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker verification using adapted Gaussian mixture models. Digital Signal Processing 10(1-3), 19–41 (2000)
Sündermann, D., Ney, H., Höge, H.: VTLN-based cross-language voice conversion. In: Proc. ASRU 2003, USA, pp. 676–681 (2003)
Stylianou, Y., Cappé, O., Moulines, E.: Continuous probabilistic transform for voice conversion. IEEE Trans. Speech and Audio Processing 6(2), 131–142 (1998)
Sündermann, D., Bonafonte, A., Ney, H., Höge, H.: A study on residual prediction techniques for voice conversion. In: Proc. ICASSP 2005, USA, vol. 1, pp. 13–16 (2005)
Kominek, J., Black, A.: The CMU ARCTIC speech databases for speech synthesis research. Technical Report CMU-LTI-03-177, Carnegie Mellon University, Pittsburgh, PA (2003)
Slaney, M.: Auditory toolbox. Version 2. Technical Report #1998-010, Interval Research Corporation (1998)
Rabiner, L.R., Cheng, M.J., Rosenberg, A.E., McGonegal, C.A.: A comparative performance study of several pitch detection algorithms. IEEE Trans. Acoust. Speech & Signal Proc. 24(5), 399–418 (1976)
Garofolo, J.: Getting started with the DARPA-TIMIT CD-ROM: An acoustic phonetic continuous speech database. National Institute of Standards and Technology (NIST), USA (1998)
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Ganchev, T., Lazaridis, A., Mporas, I., Fakotakis, N. (2008). Performance Evaluation for Voice Conversion Systems. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2008. Lecture Notes in Computer Science(), vol 5246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87391-4_41
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DOI: https://doi.org/10.1007/978-3-540-87391-4_41
Publisher Name: Springer, Berlin, Heidelberg
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