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Found 5 papers, 1 papers with code
IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors
In this paper, a new emotional speech database named IIIT-H TEMD (International Institute of Information Technology-Hyderabad Telugu Emotional Database) is collected using designed drama situations from actors and non-actors.
Learning document embeddings along with their uncertainties
We present Bayesian subspace multinomial model (Bayesian SMM), a generative log-linear model that learns to represent documents in the form of Gaussian distributions, thereby encoding the uncertainty in its co-variance.
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Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder
Results show that the proposed approach is able to synthesize at the same quality as the conventional frame based approach at a highly reduced computational cost.
Significance of Maximum Spectral Amplitude in Sub-bands for Spectral Envelope Estimation and Its Application to Statistical Parametric Speech Synthesis
In this paper we propose a technique for spectral envelope estimation using maximum values in the sub-bands of Fourier magnitude spectrum (MSASB).
