Self-supervised learning (SSL) achieves great success in speech recognition, while limited
exploration has been attempted for other speech processing tasks. As speech signal …

Feed-forward, Deep neural networks (DNN)-based text-tospeech (TTS) systems have been
recently shown to outperform decision-tree clustered context-dependent HMM TTS systems […

MicroRNAs (miRNAs) are small noncoding RNAs, approximately 18–25 nucleotides in
length, now recognized as one of the major regulatory gene families in eukaryotes. Recent …

Deep Neural Network (DNN), which can model a long-span, intricate transform compactly
with a deep-layered structure, has recently been investigated for parametric TTS synthesis …

DOI: 10.1002/adma. 201602757 significantly shifts the threshold voltage and can only dope
the entire MoS 2 flake.[21, 26] Additionally, graphene could be also used as electrode to …

As an ideal candidate for the next generation of large‐scale energy storage devices, sodium‐ion
batteries (SIBs) have received great attention due to their low cost. However, the …

Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural
language processing models, we propose a unified-modal SpeechT5 framework that explores …

Layer-by-layer gold nanoparticles are used to generate photocurrent in an environmentally-friendly
plasmon-sensitized solar cell towing to surface plasmon resonance. The efficiency of …

With the development of cellulose chemistry and processing technology, the applications of
cellulose materials were not limited to traditional fields as engineering materials in forest …

Levulinic acid (LA) is one of the most important biomass-derived platform molecules and can
be produced from both C5 and C6 carbohydrates via tandem dehydration and hydrolysis …