Conversational AI has seen a growing interest among government, researchers, and
industrialists. This comprehensive survey paper provides an in-depth analysis of large …

We address the problem of cross-speaker style transfer for text-to-speech (TTS) using data
augmentation via voice conversion. We assume to have a corpus of neutral non-expressive …

Recently, sentiment analysis research has made significant improvements in addressing
sentiment and subjectivity within textual content. The advent of multimodal deep learning …

Cross-speaker style transfer in speech synthesis aims at transferring a style from source
speaker to synthesized speech of a target speaker's timbre. In most previous methods, the …

Cross-speaker style transfer in speech synthesis aims at transferring a style from source
speaker to synthesised speech of a target speaker's timbre. Most previous approaches rely …

Existing Building Information Modeling (BIM) information extraction (IE) methods require
users to spend more time learning different query languages and database structures, which …

This study explores the feasibility of using artificial emotional speech datasets generated by
existing artificial voice-generating software as an alternative to human-generated datasets …

The blind people cannot read the text; they will suffer a lot in their day-to-day lives to handle
this. Many techniques were introduced, but they didn't provide better accuracy. The main aim …

In this paper, we propose a method to flexibly control the local prosodic variation of a neural
text-to-speech (TTS) model. To provide expressiveness for synthesized speech …

The paper proposes a method to generate expressive talking head videos artificially in any
context by synthesizing and syncing speech and video, with the only provided inputs of a …