ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.03901
  4. Cited By
Challenges and Insights: Exploring 3D Spatial Features and Complex
  Networks on the MISP Dataset

Challenges and Insights: Exploring 3D Spatial Features and Complex Networks on the MISP Dataset

5 October 2023
Yiwen Shao
ArXiv (abs)PDFHTML

Papers citing "Challenges and Insights: Exploring 3D Spatial Features and Complex Networks on the MISP Dataset"

4 / 4 papers shown
Title
Pruned RNN-T for fast, memory-efficient ASR training
Pruned RNN-T for fast, memory-efficient ASR training
Fangjun Kuang
Liyong Guo
Wei Kang
Long Lin
Mingshuang Luo
Zengwei Yao
Daniel Povey
70
68
0
23 Jun 2022
Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature
Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature
Yiwen Shao
Shi-Xiong Zhang
Dong Yu
72
15
0
22 Nov 2021
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech
  Enhancement
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
Yanxin Hu
Yun Liu
Shubo Lv
Mengtao Xing
Shimin Zhang
Yihui Fu
Jian Wu
Bihong Zhang
Lei Xie
53
592
0
01 Aug 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
223
3,139
0
16 May 2020
1