Dual-Encoders is a promising mechanism for answer retrieval in question
...
The Conformer model is an excellent architecture for speech recognition
...
SLU combines ASR and NLU capabilities to accomplish speech-to-intent
und...
In this work, we address the Text-to-Speech (TTS) task by proposing a
no...
One-Shot methods have evolved into one of the most popular methods in Ne...
Owing to its unique literal and aesthetical characteristics, automatic
g...
Margin infused relaxed algorithms (MIRAs) dominate model tuning in
stati...
List-wise based learning to rank methods are generally supposed to have
...
In learning to rank area, industry-level applications have been dominate...
In recent years, deep learning technique has received intense attention ...
This paper presents a novel, syllable-structured Chinese lyrics generati...
In this paper, we comprehensively study on context-aware generation of
C...
As one of the quintessence of Chinese traditional culture, couplet
compr...
Recurrent neural language models are the state-of-the-art models for lan...
We present a new statistical learning paradigm for Boltzmann machines ba...