# An Initial study on Birdsong Re-synthesis Using Neural Vocoders

arXiv: https://arxiv.org/abs/2209.10479 · HTML: https://mlsanity.com/paper/2209.10479/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Sep 2022.

## Built on by (most cited first, 1 of 1)

- [WhAM: Towards A Translative Model of Sperm Whale Vocalization](https://mlsanity.com/paper/2512.02206/) (2025)

## Abstract (arXiv)

Modern speech synthesis uses neural vocoders to model raw waveform samples directly. This increased versatility has expanded the scope of vocoders from speech to other domains, such as music. We address another interesting domain of bio-acoustics. We provide initial comparative analysis-resynthesis experiments of birdsong using traditional (WORLD) and two neural (WaveNet autoencoder, parallel WaveGAN) vocoders. Our subjective results indicate no difference in the three vocoders in terms of species discrimination (ABX test). Nonetheless, the WORLD vocoder samples were rated higher in terms of retaining bird-like qualities (MOS test). All vocoders faced issues with pitch and voicing. Our results indicate some of the challenges in processing low-quality wildlife audio data.