Speaker adaptation performance in HMM-TTS systems is typically evaluated using subjective listening tests [3]. The sam- ples generated with speaker-adapted models are rated based on whether the synthesised voice sounds like the target speaker and on the perceived naturalness.
Aug 31, 2013
This work describes experiments on using noisy adaptation data to create personalized voices with HMM-based speech synthesis and shows that speaker-adaptive ...
Remes, U, Karhila, R & Kurimo, M 2013, Objective evaluation measures for speaker-adaptive HMM-TTS systems. in 8th ISCA Speech Synthesis Workshop, (SSW8), ...
Publications · Objective evaluation measures for speaker-adaptive HMM-TTS systems ...
2013. Objective evaluation measures for speaker-adaptive HMM-TTS systems. U Remes, R Karhila, M Kurimo. Eighth ISCA Workshop on Speech Synthesis, 2013. 20, 2013.
Abstract—In this paper, we evaluate the vulnerability of speaker verification (SV) systems to synthetic speech. The SV systems are based on either the ...
Objective evaluation measures for speaker-adaptive HMM-TTS systems. U Remes, R Karhila, M Kurimo. Eighth ISCA Workshop on Speech Synthesis, 2013. 20, 2013. Siak ...
We evaluate the results of the MSPK system using the objective measures of equal error rate (EER) and word error rate (WER), and also look into the distances ...
This paper examines these issues in terms of multiple objective measures such as variance characteristics, GV distortions, and GV correlations. We propose a ...
In this paper we investigate whether a relationship exists between objective and subjective voice evaluation measures with regard to the selection of training.