In this paper, we develop two corpora for speech synthesis research. Thanks to
improvements in machine learning techniques, including deep learning, speech synthesis is …

Thanks to improvements in machine learning techniques, including deep learning, speech
synthesis is becoming a machine learning task. To accelerate speech synthesis research …

Thanks to improvements in machine learning techniques including deep learning, a free
large-scale speech corpus that can be shared between academic institutions and …

The recent progress of text-to-speech synthesis (TTS) technology has allowed computers to
read any written text aloud with voice that is artificial but almost indistinguishable from real …

Speech synthesis, also known as text-to-speech (TTS), has attracted increasingly more
attention. Recent advances on speech synthesis are overwhelmingly contributed by deep …

As an indispensable part of modern human-computer interaction system, speech synthesis
technology helps users get the output of intelligent machine more easily and intuitively, thus …

We investigate the impact of input linguistic feature representation on Japanese end-to-end
speech synthesis. An end-toend speech synthesis system, which directly generates natural …

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 …

Nowadays, speech synthesis technology is synonymous with the use of Deep Learning. To
understand more about how synthesis systems have progressed with the advent of Deep …

Abstract Recently, Deep Neural Network (DNN), which is a feed-forward artificial neural
network with many hidden layers, has opened a new research direction for Speech …