FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis

• URL: http://arxiv.org/abs/2106.15123v1
• Date: Tue, 29 Jun 2021 07:06:42 GMT
• Title: FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
• Authors: Taejun Bak, Jae-Sung Bae, Hanbin Bae, Young-Ik Kim, Hoon-Young Cho
• Abstract summary: We propose a feed-forward Transformer based TTS model that is designed based on the source-filter theory. FastPitchFormant has a unique structure that handles text and acoustic features in parallel.
• Score: 6.509758931804479
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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. This model, called FastPitchFormant, has a unique structure that handles text and acoustic features in parallel. With modeling each feature separately, the tendency that the model learns the relationship between two features can be mitigated.

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