title: AC-VC: Non-Parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion
abstract: This paper presents AC-VC (Almost Causal Voice Conversion), a phonetic posteriorgrams based voice conversion system that can perform any-to-many voice conversion while having only 57.5 ms future look-ahead. The complete system is composed of three neural networks trained separately with non-parallel data. While most of the current voice conversion systems focus primarily on quality irrespective of algorithmic latency, this work elaborates on designing a method using a minimal amount of future co
journal: 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)