Text to Speech (TTS) synthesis is a process of translating natural language text into speech.
Pieces of recorded speech generate synthesized speech and a database is maintained for …

Educational big data analytics and computational intelligence have transformed our
understanding of learning ability and computing power, catalyzing the emergence of …

This paper is concerned with state estimation for a class of hidden semi-Markov jump linear
systems governed by a two-layer stochastic process in the discrete-time context. A semi …

In this note, the control problem for discrete-time hidden semi-Markov jump systems is
investigated under the situation that the system modes are unavailable directly. Compared …

Abstract Agricultural Text-to-Speech (TTS) has attracted increasingly more attention. The
application of agricultural TTS and its problems are analyzed in this paper, and the …

Synthesis of Text-to-speech (TTS) is a process that involves translating a natural language
text into a speech. Speech synthesisers face a major challenge when recognizing the …

Diffusion-based speech generators are ubiquitous. These methods can generate very high
quality synthetic speech and several recent incidents report their malicious use. To counter …

Abstract Hidden Markov chains (HMCs) are widely used in unsupervised Bayesian hidden
discrete data restoration. They are very robust and, in spite of their simplicity, they are …

The current era of information technology revolutions needs rapid progress of digital
transformation. Question-answer system is one such remarkable intelligent application …

In this paper, the first-ever Urdu language singing voices corpus is developed using
linguistic (phonetic) and vocoder (F0 contours) features. Singer identity feature vector along …