11 citations · 22 across the 14 of their papers we have counts for
4 papers · 1 filter
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
Krishna Subramani, Preeti Rao
Generative Models for Audio Synthesis have been gaining momentum in the last few years. More recently, parametric representations of the audio signal have been incorporated to faci…
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio
Rohit M. A., Preeti Rao
A Dhrupad vocal concert comprises a composition section that is interspersed with improvised episodes of increased rhythmic activity involving the interaction between the vocals an…
VaPar Synth -- A Variational Parametric Model for Audio Synthesis
Krishna Subramani, Preeti Rao, Alexandre D'Hooge
With the advent of data-driven statistical modeling and abundant computing power, researchers are turning increasingly to deep learning for audio synthesis. These methods try to mo…
Speech-to-Singing Conversion in an Encoder-Decoder Framework
Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang
In this paper our goal is to convert a set of spoken lines into sung ones. Unlike previous signal processing based methods, we take a learning based approach to the problem. This a…