Abstract
Voice conversion is a technique that transforms the source speaker individuality to that of the target speaker. We propose the simple and intuitive voice conversion algorithm not using training data between different languages and it uses text-to-speech generated speech rather than recorded real voices. The suggested method reconstructed the voice after transforming line spectral frequencies (LSF) by formant space warping functions. The formant space is the space consisted of representative four monophthongs for each language. The warping functions are represented by piecewise linear equations using pairs of four formants at matched monophthongs. In this paper, we applied LSF to voice conversion because LSF are not overly sensitive to quantization noise and can be interpolated. From experimental results, LSF based voice conversion shows good results for ABX and MOS tests than the direct frequency warping approaches.
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References
Jenniffer clyde interview. https://youtu.be/Q7SgJCqY0Ws
Voiceware co.: http://www.voiceware.co.kr/english/index.html
Erro, D., Moreno, A., Bonafonte, A.: Voice conversion based on weighted frequency warping. IEEE Trans. Audio Speech Lang. Proces. 18(5), 922–931 (2010)
Hillenbrand, J., Getty, L.A., Clark, M.J., Wheeler, K.: Acoustic characteristics of american english vowels. J. Acoust. Soc. Am. 97(5), 3099–3111 (1995)
Huang, X., Acero, A., Hon, H.W.: Spoken Language Processing: A Guide to Theory, Algorithm, and System Development. Prentice Hall PTR, Upper Saddle River (2001). Foreword By-Reddy, R
Itakura, F.: Line spectrum representation of linear predictor coefficients of speech signals. J. Acoust. Soc. Am. 57(S1), S35–S35 (1975)
Kabal, P., Ramachandran, R.P.: The computation of line spectral frequencies using chebyshev polynomials. IEEE Trans. Acoust. Speech Signal Process. 34(6), 1419–1426 (1986)
Kuwabara, H., Sagisak, Y.: Acoustic characteristics of speaker individuality: control and conversion. Speech Commun. 16(2), 165–173 (1995)
McLoughlin, I.V.: Line spectral pairs. Signal Process. 88(3), 448–467 (2008)
Mizuno, H., Abe, M.: Voice conversion algorithm based on piecewise linear conversion rules of formant frequency and spectrum tilt. Speech Commun. 16(2), 153–164 (1995)
Moon, S.J.: A fundamental phonetic investigation of korean monophthongs. Malsori 62, 1–17 (2007)
Narendranath, M., Murthy, H.A., Rajendran, S., Yegnanarayana, B.: Transformation of formants for voice conversion using artificial neural networks. Speech Commun. 16(2), 207–216 (1995)
Pye, D., Woodland, P.: Experiments in speaker normalisation and adaptation for large vocabulary speech recognition. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1997, vol. 2, pp. 1047–1050. IEEE (1997)
Saheer, L., Dines, J., Garner, P.N.: Vocal tract length normalization for statistical parametric speech synthesis. IEEE Trans. Audio Speech Lang. Process. 20(7), 2134–2148 (2012)
Sundermann, D., Bonafonte, A., Ney, H., Höge, H.: Time domain vocal tract length normalization. In: Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, pp. 191–194. IEEE (2004)
Sundermann, D., Ney, H., Hoge, H.: Vtln-based cross-language voice conversion. In: IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003, pp. 676–681. IEEE (2003)
Sündermann, D., Höge, H., Bonafonte, A., Ney, H., Black, A., Narayanan, S.: Text-independent voice conversion based on unit selection. In: Proceedings of 2006 IEEE International Conference Acoustics, Speech and Signal Processing, ICASSP 2006, vol. 1, pp. I-I. IEEE (2006)
Sündermann, D., Strecha, G., Bonafonte, A., Höge, H., Ney, H.: Evaluation of vtln-based voice conversion for embedded speech synthesis. In: Interspeech, pp. 2593–2596 (2005)
Yun, Y.-S., Ladner, R.E.: Text, speech, and dialogue. In: Habernal, I. (ed.) TSD 2013. LNCS, vol. 8082, pp. 137–144. Springer, Heidelberg (2013)
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This work was supported by 2015 Hannam University Research Fund.
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Yun, YS., Jung, J., Eun, S. (2015). Voice Conversion Between Synthesized Bilingual Voices Using Line Spectral Frequencies. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_57
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DOI: https://doi.org/10.1007/978-3-319-23132-7_57
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