title: Towards speaking style transplantation in speech synthesis creator: Lorenzo Trueba, Jaime creator: Barra Chicote, Roberto creator: Yamagishi, J. creator: Watts, Oliver creator: Montero Martínez, Juan Manuel subject: Telecommunications description: One of the biggest challenges in speech synthesis is the production of naturally sounding synthetic voices. This means that the resulting voice must be not only of high enough quality but also that it must be able to capture the natural expressiveness imbued in human speech. This paper focus on solving the expressiveness problem by proposing a set of different techniques that could be used for extrapolating the expressiveness of proven high quality speaking style models into neutral speakers in HMM-based synthesis. As an additional advantage, the proposed techniques are based on adaptation approaches, which means that they can be used with little training data (around 15 minutes of training data are used in each style for this paper). For the final implementation, a set of 4 speaking styles were considered: news broadcasts, live sports commentary, interviews and parliamentary speech. Finally, the implementation of the 5 techniques were tested through a perceptual evaluation that proves that the deviations between neutral and speaking style average models can be learned and used to imbue expressiveness into target neutral speakers as intended. publisher: E.T.S.I. Telecomunicación (UPM) rights: https://creativecommons.org/licenses/by-nc-nd/3.0/es/ date: 2013 type: info:eu-repo/semantics/conferenceObject type: Presentation at Congress or Conference source: 8th ISCA Speech Synthesis Workshop | 8th ISCA Speech Synthesis Workshop | 31/08/2013 - 02/09/2013 | Barcelona, Spain type: PeerReviewed format: application/pdf language: eng rights: info:eu-repo/semantics/openAccess identifier: https://oa.upm.es/30098/