FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis

Understand

Methods for modeling and controlling prosody with acoustic features have been proposed for neural text-to-speech (TTS) models.

• Prosodic speech can be generated by conditioning acoustic features.
• However, synthesized speech with a large pitch-shift scale suffers from audio quality degradation, and speaker characteristics deformation.
• To address this problem, we propose a feed-forward Transformer based TTS model that is designed based on the source-filter theory.