Prosody-TTS: An End-to-End Speech Synthesis System with Prosody Control

Whispered Speech Prosody Modeling for TTS Synthesis

This paper is devoted to modeling prosody of whispered Russian speech. The practical purpose of this research is to extend voice cloning techniques to whispered speech modality. The authors present their analysis of prosodic features that contribute to the expression of sentence type intonation in whispered speech. The current investigation includes intonation contours in complete and incomplet...

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

We present an extension to the Tacotron speech synthesis architecture that learns a latent embedding space of prosody, derived from a reference acoustic representation containing the desired prosody. We show that conditioning Tacotron on this learned embedding space results in synthesized audio that matches the prosody of the reference signal with fine time detail even when the reference and sy...

Prosody Annotation for Unit Selection Tts Synthesis

This paper concerns prosody annotation and intonation modeling, especially for the application in a corpus based speech synthesis. In order to establish the rules of the automatic intonation modeling, a four hour fully annotated speech database has been acoustically and perceptually analyzed. The speech material included different text types, dialogs and prosodically rich phrases. As the result...

Prosody Control for Polyglot Speech Synthesis

Prosody control in HMM-based speech synthesis

In HMM-based speech synthesis, trained statistical models (context-dependent HMMs) are used to predict duration and generate parameters like mel-cepstral coefficients, log F0 values, and bandpass voicing strengths using the maximum likelihood parameter generation algorithm including global variance (Toda et al, 2007). In the later stages, F0 parameters, bandpass voicing strengths, and the five ...