2 citations · 3 across the 4 of their papers we have counts for
4 papers
Memory Efficient Audio Synthesis with Decoupled Temporal Depth Diffusion Transformers
Dongseong Hwang, Prasanth Yadla, Kaan Elgin +8
Siri Expressive Voices synthesize rich, configurable speech in real time and entirely on device, powered by AFM 3 Core Advanced, Apple's most powerful on-device foundation model. T…
On-device neural speech synthesis
Sivanand Achanta, Albert Antony, Ladan Golipour +8
Recent advances in text-to-speech (TTS) synthesis, such as Tacotron and WaveRNN, have made it possible to construct a fully neural network based TTS system, by coupling the two com…
Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder
Sivanand Achanta, KNRK Raju Alluri, Suryakanth V Gangashetty
In this paper, we describe a statistical parametric speech synthesis approach with unit-level acoustic representation. In conventional deep neural network based speech synthesis, t…
Significance of Maximum Spectral Amplitude in Sub-bands for Spectral Envelope Estimation and Its Application to Statistical Parametric Speech Synthesis
Sivanand Achanta, Anandaswarup Vadapalli, Sai Krishna R. +1
In this paper we propose a technique for spectral envelope estimation using maximum values in the sub-bands of Fourier magnitude spectrum (MSASB). Most other methods in the literat…