(7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS

时间 2020-01-31

标签 ieeeacoustic13 ieeeacoustic speech recognition deep recurrent neural networks 繁體版

原文原文链接

计划完成深度学习入门的126篇论文第七篇，多伦多大学的Geoffrey和Alex Graves发表关于End-to-End Deep RNN在Speech Recognition方向上的论文。 ABSTRACT&INTRODUCTION 摘要 Recurrent neural networks(RNNs)是一种强大的序列数据模型。端到端训练方法，如Connectionist Temporal Cl

>>阅读原文<<

1. (7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
2. 文章：Emotion Recognition From Speech With Recurrent Neural Networks
3. (8) [ICML14] Towards End-to-End Speech Recognition with Recurrent Neural Networks
4. 语音情感识别论文：Emotion Recognition From Speech With Recurrent Neural Networks
5. (zhuan) Recurrent Neural Network
6. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
7. Interspeech 2017 | Far-field Speech Recognition Technology
8. (9) [CS15] Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
9. Convolutional Neural Networks for Speech Recognition///2014
10. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
更多相关文章...
• PHP 7 异常 - PHP 7 新特性
• PHP 7 新特性 - PHP教程
• 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
• 算法总结-股票买卖

最新文章

1. python的安装和Hello，World编写
2. 重磅解读：K8s Cluster Autoscaler模块及对应华为云插件Deep Dive
3. 鸿蒙学习笔记2（永不断更）
4. static关键字和构造代码块
5. JVM笔记
6. 无法启动 C/C++ 语言服务器。IntelliSense 功能将被禁用。错误: Missing binary at c:\Users\MSI-NB\.vscode\extensions\ms-vsc
7. 【Hive】Hive返回码状态含义
8. Java树形结构递归（以时间换空间）和非递归（以空间换时间）
9. 数据预处理---缺失值
10. 都要2021年了，现代C++有什么值得我们学习的？

本站公众号

欢迎关注本站公众号,获取更多信息

1. (7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
2. 文章：Emotion Recognition From Speech With Recurrent Neural Networks
3. (8) [ICML14] Towards End-to-End Speech Recognition with Recurrent Neural Networks
4. 语音情感识别论文：Emotion Recognition From Speech With Recurrent Neural Networks
5. (zhuan) Recurrent Neural Network
6. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
7. Interspeech 2017 | Far-field Speech Recognition Technology
8. (9) [CS15] Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
9. Convolutional Neural Networks for Speech Recognition///2014
10. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology

>>更多相关文章<<