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Constructing Long Short-Term Memory based Deep Recurrent Neural Networks
  for Large Vocabulary Speech Recognition

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

16 October 2014
Xiangang Li
Xihong Wu
ArXivPDFHTML

Papers citing "Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition"

15 / 15 papers shown
Title
Automatic speech recognition for the Nepali language using CNN,
  bidirectional LSTM and ResNet
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet
Manish Dhakal
Arman Chhetri
Aman Kumar Gupta
Prabin B. Lamichhane
S. Pandey
S. Shakya
AI4TS
35
10
0
25 Jun 2024
Design Perspectives of Multitask Deep Learning Models and Applications
Design Perspectives of Multitask Deep Learning Models and Applications
Yeshwant Singh
Anupam Biswas
Angshuman Bora
Debashish Malakar
Subham Chakraborty
S. Bera
33
0
0
27 Sep 2022
Matching Writers to Content Writing Tasks
Matching Writers to Content Writing Tasks
Narayana Darapaneni
Chandra Bhakuni
Ujjval Bhatt
Khamir Purohit
Vikas Sardna
Prabir Chakraborty
A. Paduri
15
2
0
07 Apr 2022
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
35
3
0
06 Oct 2021
An overview of mixing augmentation methods and augmentation strategies
An overview of mixing augmentation methods and augmentation strategies
Dominik Lewy
Jacek Mańdziuk
25
61
0
21 Jul 2021
Joint Hand-object 3D Reconstruction from a Single Image with
  Cross-branch Feature Fusion
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
Yujin Chen
Zhigang Tu
Di Kang
Ruizhi Chen
Linchao Bao
Zhengyou Zhang
Junsong Yuan
3DH
33
60
0
28 Jun 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
32
81
0
02 Jan 2020
Two-phase flow regime prediction using LSTM based deep recurrent neural
  network
Two-phase flow regime prediction using LSTM based deep recurrent neural network
Z. Dang
M. Ishii
8
7
0
30 Mar 2019
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models
T. Nguyen
Sebastian Stüker
A. Waibel
30
1
0
02 Feb 2019
A Multiversion Programming Inspired Approach to Detecting Audio
  Adversarial Examples
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Qiang Zeng
Jianhai Su
Chenglong Fu
Golam Kayas
Lannan Luo
AAML
27
46
0
26 Dec 2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Grow and Prune Compact, Fast, and Accurate LSTMs
Xiaoliang Dai
Hongxu Yin
N. Jha
VLM
SyDa
31
90
0
30 May 2018
Ocean Eddy Identification and Tracking using Neural Networks
Ocean Eddy Identification and Tracking using Neural Networks
K. Franz
R. Roscher
Andres Milioto
Susanne Wenzel
J. Kusche
AI4Cl
28
69
0
20 Mar 2018
DeepBach: a Steerable Model for Bach Chorales Generation
DeepBach: a Steerable Model for Bach Chorales Generation
Gaëtan Hadjeres
F. Pachet
Frank Nielsen
33
433
0
03 Dec 2016
Noise-Robust ASR for the third 'CHiME' Challenge Exploiting
  Time-Frequency Masking based Multi-Channel Speech Enhancement and Recurrent
  Neural Network
Noise-Robust ASR for the third 'CHiME' Challenge Exploiting Time-Frequency Masking based Multi-Channel Speech Enhancement and Recurrent Neural Network
Zaihu Pang
Fengyun Zhu
26
10
0
24 Sep 2015
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
Andrew L. Maas
Peng Qi
Ziang Xie
Awni Y. Hannun
Christopher T. Lengerich
Daniel Jurafsky
A. Ng
35
120
0
30 Jun 2014
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