Orhan, Mustafa CemDemiroğlu, Cenk2016-02-152016-02-152011978-1-4577-0462-8http://hdl.handle.net/10679/2374https://doi.org/10.1109/SIU.2011.5929767Due to copyright restrictions, the access to the full text of this article is only available via subscription.Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new voices. In this paper, speaker interpolation for HMM-based TTS (HTS) is described and listening test results for the interpolation of English and Turkish voices are presented. Similar to English, we obtained Turkish speech that strongly reflect the interpolation ratio in perceptual similarity. Some insight into the interpolation process is also provided by analysing the spectra of the reference and final voices.turinfo:eu-repo/semantics/restrictedAccessConference paper78178410.1109/SIU.2011.5929767Hidden Markov modelsSpeaker recognitionSpeech synthesis2-s2.0-79960432783