10 citations · 33 across the 11 of their papers we have counts for
11 papers
EffectiveASR: A Single-Step Non-Autoregressive Mandarin Speech Recognition Architecture with High Accuracy and Inference Speed
Ziyang Zhuang, Chenfeng Miao, Kun Zou +7
Non-autoregressive (NAR) automatic speech recognition (ASR) models predict tokens independently and simultaneously, bringing high inference speed. However, there is still a gap in…
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
Yanmeng Wang, Jun Bai, Ye Wang +5
Dual-Encoders is a promising mechanism for answer retrieval in question answering (QA) systems. Currently most conventional Dual-Encoders learn the semantic representations of ques…
Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition
Nick J. C. Wang, Zongfeng Quan, Shaojun Wang +1
The Conformer model is an excellent architecture for speech recognition modeling that effectively utilizes the hybrid losses of connectionist temporal classification (CTC) and atte…
A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding
Nick J. C. Wang, Shaojun Wang, Jing Xiao
SLU combines ASR and NLU capabilities to accomplish speech-to-intent understanding. In this paper, we compare different ways to combine ASR and NLU, in particular using a single Co…
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
Chenfeng Miao, Shuang Liang, Zhencheng Liu +4
In this work, we address the Text-to-Speech (TTS) task by proposing a non-autoregressive architecture called EfficientTTS. Unlike the dominant non-autoregressive TTS models, which…
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels
Zan Shen, Jiang Qian, Bojin Zhuang +2
One-Shot methods have evolved into one of the most popular methods in Neural Architecture Search (NAS) due to weight sharing and single training of a supernet. However, existing me…
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation
Liming Deng, Jie Wang, Hangming Liang +5
Owing to its unique literal and aesthetical characteristics, automatic generation of Chinese poetry is still challenging in Artificial Intelligence, which can hardly be straightfor…
Audio-Based Music Classification with DenseNet And Data Augmentation
Wenhao Bian, Jie Wang, Bojin Zhuang +3
In recent years, deep learning technique has received intense attention owing to its great success in image recognition. A tendency of adaption of deep learning in various informat…
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
Xu Lu, Jie Wang, Bojin Zhuang +2
This paper presents a novel, syllable-structured Chinese lyrics generation model given a piece of original melody. Most previously reported lyrics generation models fail to include…
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines
Haoshen Fan, Jie Wang, Bojin Zhuang +2
As one of the quintessence of Chinese traditional culture, couplet compromises two syntactically symmetric clauses equal in length, namely, an antecedent and subsequent clause. Mor…
A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation
Haoshen Fan, Jie Wang, Bojin Zhuang +2
In this paper, we comprehensively study on context-aware generation of Chinese song lyrics. Conventional text generative models generate a sequence or sentence word by word, failin…