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Chunked Autoregressive GAN for Conditional Waveform Synthesis

ICLR 2022 · Image generation › GANs · approach: GAN vocoders and audio synthesis · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use chunked autoregression instead of non-autoregressive waveform generationHiFi-GAN-style conditional waveform synthesis · VCTKPitch error (cents): 51.2 -> 29.4Helped
use chunked autoregression instead of non-autoregressive waveform generationHiFi-GAN-style conditional waveform synthesis · DAPSPeriodicity RMSE: .142 -> .107Helped
use chunked autoregression instead of non-autoregressive waveform generationHiFi-GAN-style conditional waveform synthesis · VCTKTraining speed (ms/step): 1186 -> 502Helped
use chunked autoregression instead of non-autoregressive waveform generationHiFi-GAN-style conditional waveform synthesis · VCTK synthetic cumulative sum, 1024L1 distance: .050 -> .009Helped
replace the GAN-TTS generator with the HiFi-GAN generator (ablation)CARGAN · VCTKPitch error (cents): 29.4 -> 37.9Hurt
replace the GAN-TTS generator with the HiFi-GAN generator (ablation)CARGAN · DAPSPitch error (cents): 21.6 -> 27.0Hurt
remove loss compensation and restore the original loss weights (ablation)CARGAN · VCTKPitch error (cents): 29.4 -> 33.7Hurt
remove loss compensation and restore the original loss weights (ablation)CARGAN · DAPSPitch error (cents): 21.6 -> 34.1Hurt
omit prepending autoregressive context to discriminator inputs (ablation)CARGAN · VCTKPeriodicity RMSE: .086 -> .088Hurt
omit prepending autoregressive context to discriminator inputs (ablation)CARGAN · VCTKPitch error (cents): 29.4 -> 24.6Helped
vary chunk size (ablation)CARGAN · DAPSPitch error (cents): 22.9 (512); 22.1 (1024); 21.6 (2048); 24.8 (4096); 24.1 (8192)Mixed
increase every convolution kernel size to 15 (ablation)CARGAN · VCTK speech synthesisPitch error (cents): 29.4 -> 24.3Helped

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