67 citations · 588 across the 61 of their papers we have counts for
10 papers · 1 filter
DEPA: Self-Supervised Audio Embedding for Depression Detection
Pingyue Zhang, Mengyue Wu, Heinrich Dinkel +1
Depression detection research has increased over the last few decades, one major bottleneck of which is the limited data availability and representation learning. Recently, self-su…
Data Augmentation with Atomic Templates for Spoken Language Understanding
Zijian Zhao, Su Zhu, Kai Yu
Spoken Language Understanding (SLU) converts user utterances into structured semantic representations. Data sparsity is one of the main obstacles of SLU due to the high cost of hum…
Semantic Parsing with Dual Learning
Ruisheng Cao, Su Zhu, Chen Liu +2
Semantic parsing converts natural language queries into structured logical forms. The paucity of annotated training samples is a fundamental challenge in this field. In this work,…
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
Xu Xiang, Shuai Wang, Houjun Huang +2
Recently, speaker embeddings extracted from a speaker discriminative deep neural network (DNN) yield better performance than the conventional methods such as i-vector. In most case…
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning
Lu Chen, Zhi Chen, Bowen Tan +3
Dialogue policy plays an important role in task-oriented spoken dialogue systems. It determines how to respond to users. The recently proposed deep reinforcement learning (DRL) app…
Audio Caption in a Car Setting with a Sentence-Level Loss
Xuenan Xu, Heinrich Dinkel, Mengyue Wu +1
Captioning has attracted much attention in image and video understanding while a small amount of work examines audio captioning. This paper contributes a Mandarin-annotated dataset…