Abstract
Unit selection speech synthesis systems generally rely on target and concatenation costs for selecting a best unit sequence. These costs, though often considering contextual features, mainly include local distances that are accumulated afterwards. In this paper, we describe a new duration target cost that takes a whole sequence into account. It aims at selecting a sequence globally good, instead of a very good sequence almost everywhere but having a few local duration cost leaps that are counter-balanced by other units. The problem of weighting this new duration cost with other sub-costs is also investigated. Experiments showed this new measure performed well on sentences featuring duration artefacts, while not deteriorating others.
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References
Yamagishi, J., Ling, Z., King, S.: Robustness of HMM-based speech synthesis. In: Ninth Annual Conference of the International Speech Communication Association, pp. 2–5 (2008)
Sagisaka, Y.: Speech synthesis by rule using an optimal selection of non-uniform synthesis units. In: Proc. of ICASSP, pp. 679–682. IEEE (1988)
Black, A., Taylor, P.: Chatr: a generic speech synthesis system. In: Proc. of Coling, Association for Computational Linguistics (1994)
Hunt, A., Black, A.: Unit selection in a concatenative speech synthesis system using a large speech database. In: Proc. of ICASSP, pp. 373–376. IEEE (1996)
Taylor, P., Black, A., Caley, R.: The architecture of the festival speech synthesis system. In: Proc. of the ESCA Workshop in Speech Synthesis, pp. 147–151 (1998)
Breen, A., Jackson, P.: Non-uniform unit selection and the similarity metric within bts laureate tts system. In: Proc. of the ESCA Workshop on Speech Synthesis, pp. 373–376. Citeseer (1998)
Clark, R., Richmond, K., King, S.: Multisyn: Open-domain unit selection for the festival speech synthesis system. Speech Communication, 317–330 (2007)
Kumar, R.: A genetic algorithm for unit selection based speech synthesis. In: Eighth International Conference on Spoken Language Processing (2004)
Schröder, M.: Expressive Speech Synthesis: Past, Present, and Possible Futures. In: Affective Information Processing, pp. 111–126. Springer, London (2009)
Alías, F., Formiga, L., Llorá, X.: Efficient and reliable perceptual weight tuning for unit-selection text-to-speech synthesis based on active interactive genetic algorithms: A proof-of-concept. Speech Communication, 786–800 (May 2011)
Hashimoto, K., Oura, K., Nankaku, Y., Tokuda, K.: The effect of neural networks in statistical parametric speech synthesis. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4455–4459 (2015)
Guennec, D., Lolive, D.: Unit selection cost function exploration using an A* based text-to-speech system. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2014. LNCS, vol. 8655, pp. 432–440. Springer, Heidelberg (2014)
Tuerk, C., Robinson, T.: Speech synthesis using artificial neural networks trained on cepstral coefficients. In: Proc. of EUROSPEECH, pp. 4–7 (1993)
Karaali, O., Corrigan, G., Gerson, I.: Speech synthesis with neural networks. In: Proc. of World Congress on Neural Networks, pp. 45–50 (1996)
Taylor, P.: The target cost formulation in unit selection speech synthesis. In: Proc. of Stress, pp. 2038–2041 (2006)
Boeffard, O., Charonnat, L., Le Maguer, S., Lolive, D., Vidal, G.: Towards fully automatic annotation of audio books for tts. In: Proc. of LREC, pp. 975–980 (2012)
Chevelu, J., Lecorvé, G., Lolive, D.: Roots: a toolkit for easy, fast and consistent processing of large sequential annotated data collections. In: Proc. of LREC, pp. 619–626 (2014)
ITU-T: Itu-t recommendation p. 800: Methods for subjective determination of transmission quality (1996)
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Guennec, D., Chevelu, J., Lolive, D. (2015). Defining a Global Adaptive Duration Target Cost for Unit Selection Speech Synthesis. In: Král, P., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2015. Lecture Notes in Computer Science(), vol 9302. Springer, Cham. https://doi.org/10.1007/978-3-319-24033-6_17
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DOI: https://doi.org/10.1007/978-3-319-24033-6_17
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