# High-Quality Nonparallel Voice Conversion Based on Cycle-Consistent Adversarial Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/high-quality-nonparallel-voice-conversion-based-on-cycle-consistent-adversarial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fuming Fang,Junichi Yamagishi,Isao Echizen,Jaime Lorenzo-Trueba |
| Citations | 122 |
| DOI | 10.1109/icassp.2018.8462342 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.research.ed.ac.uk/en/publications/16904e6f-4585-41e0-a185-ee3fd523c13c |
| OpenAlex ID | https://openalex.org/W2964069186 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [Isao Echizen](https://scholariq.org/researchers/isao-echizen/)

## Paper primary topic

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

## Paper topics

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.