QHARMA-GAN combines quasi-harmonic speech modeling with a neural-network-estimated ARMA filter to synthesize and modify speech.
Second-order synchrosqueezing transform or invertible reassignment? Towards ideal time-frequency representations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
QHARMA-GAN: Quasi-Harmonic Neural Vocoder based on Autoregressive Moving Average Model
QHARMA-GAN combines quasi-harmonic speech modeling with a neural-network-estimated ARMA filter to synthesize and modify speech.