End-to-end speech-to-intent classification has shown its advantage in harvesting information
from both text and speech. In this paper, we study a technique to develop such an end-to …

A multilingual synthesizer synthesizes speech, for any given monolingual or mixed-
language text, that is intelligible to human listeners. The necessity for such synthesizer …

Last few years have given witness of development in the field of emotion recognition from
speech. Significance contribution has been provided by the researchers to detect emotions …

This paper introduces a novel method combining semantic contrast learning and event
detection, employing an attention mechanism to compare and analyze semantic features …

This research aims to uncover how polyglots learn foreign languages, identifying both
supporting and hindering factors in this learning process. The research method employed is …

Multilingual Text-to-Speech Synthesis using Sequence-to-Sequence Neural Networks Page 1
Multilingual Text-to-Speech Synthesis using Sequence-to-Sequence Neural Networks Thesis …

WaveNet like deep learning architectures are capable of generating high quality speech
while the control parameters of synthesis may be changed continuously. One of the possible …

In recent years, speech technology has gained a tremendous improvement in term of its
application and development. Speech technology such as machine translator, automatic …