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Fusion of spectral and prosody modelling for multilingual speech emotion conversion
S Vekkot, D Gupta - Knowledge-Based Systems, 2022 - Elsevier
The paper proposes an integrated speech emotion conversion framework developed using
speaker-independent mixed-lingual training. The key contribution of the work is non-parallel …
speaker-independent mixed-lingual training. The key contribution of the work is non-parallel …
Emotional voice conversion using a hybrid framework with speaker-adaptive DNN and particle-swarm-optimized neural network
We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion
conversion, tested on three different datasets (languages), namely, EmoDB (German) …
conversion, tested on three different datasets (languages), namely, EmoDB (German) …
Speaker-independent expressive voice synthesis using learning-based hybrid network model
Emotional voice conversion systems are used to formulate map** functions to transform
the neutral speech from output of text-to-speech systems to that of target emotion …
the neutral speech from output of text-to-speech systems to that of target emotion …
Hybrid framework for speaker-independent emotion conversion using i-vector PLDA and neural network
Expressive speech can be synthesized using acoustic feature modeling by map** the
spectral and fundamental frequency parameters between neutral speech and target …
spectral and fundamental frequency parameters between neutral speech and target …
Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-
Vocal emotion conversion forms a significant post-processing step in text-to-speech
synthesis. The existing models in emotion conversion are data intensive and …
synthesis. The existing models in emotion conversion are data intensive and …