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Published in 2018 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-09571-9
Abstract: Hidden Markov model (HMM) based text-to-speech (TTS) has become one of the most promising approaches, as it has proven to be a particularly flexible and robust framework to generate synthetic speech. However, several factors such…
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Keywords:
hmm speech;
speech;
mdct representation;
speech synthesis ... See more keywords
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Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-09578-2
Abstract: Hidden Markov Model and Deep Neural Networks based Statistical Parametric Speech Synthesis systems, gain a significant attention from researchers because of their flexibility in generating speech waveforms in diverse voice qualities as well as in…
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Keywords:
hidden markov;
speech synthesis;
synthesis;
speech ... See more keywords
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Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-09583-5
Abstract: The objective of this paper is to demonstrate the significance of combining different features present in the glottal activity region for statistical parametric speech synthesis (SPSS). Different features present in the glottal activity regions are…
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Keywords:
activity region;
speech synthesis;
glottal activity;
speech ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09321-7
Abstract: The performance of text-to-speech (TTS) systems heavily depends on spectrogram to waveform generation, also known as the speech reconstruction phase. The time required for the same is known as synthesis delay. In this paper, an…
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Keywords:
text speech;
speech;
speech synthesis;
waveform generation ... See more keywords
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Published in 2021 at "International Journal of Educational Research"
DOI: 10.1016/j.ijer.2021.101742
Abstract: Abstract The use of one-to-one tablets in literacy education is significant and increasing. This study investigates what 36 grade 1 and 2 students do when they write on tablets with speech synthesis pronouncing what the…
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Keywords:
speech synthesis;
practices tablets;
synthesis;
synthesis grade ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940125
Abstract: With the development of deep learning technology, speech synthesis based on deep neural networks has gradually become the mainstream method in the field of speech synthesis. In this paper, we explored the Tacotron2 model for…
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Keywords:
speech synthesis;
synthesis;
end;
lhasa tibetan ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3170836
Abstract: Speech synthesis has come a long way as current text-to-speech (TTS) models can now generate natural human-sounding speech. However, most of the TTS research focuses on using adult speech data and there has been very…
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Keywords:
speech;
methodology;
child speech;
fine tuning ... See more keywords
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1
Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2712646
Abstract: This letter proposes an efficient method for extracting pitch from speech signals for the hidden Markov model (HMM)-based speech synthesis system (HTS). In the proposed method, voicing detection and pitch estimation is performed using the…
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Keywords:
pitch;
hmm based;
based speech;
method ... See more keywords
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Published in 2020 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.5146835
Abstract: Hearing impairment is one of the congenital deafness frequently found in children, which is followed by a delayed speech. Furthermore, a speech therapist currently available is limited. In this research, we outlined the development of…
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Keywords:
delayed speech;
speech;
audio visual;
speech synthesis ... See more keywords
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3
Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0283440
Abstract: With the development of computer technology, speech synthesis techniques are becoming increasingly sophisticated. Speech cloning can be performed as a subtask of speech synthesis technology by using deep learning techniques to extract acoustic information from…
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Keywords:
system;
speech;
voice;
speech synthesis ... See more keywords
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Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095724
Abstract: Emotional speech synthesis is an important branch of human–computer interaction technology that aims to generate emotionally expressive and comprehensible speech based on the input text. With the rapid development of speech synthesis technology based on…
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Keywords:
speech;
semi supervised;
emotional speech;
synthesis ... See more keywords