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. 1703.08581
  4. Cited By
Sequence-to-Sequence Models Can Directly Translate Foreign Speech

Sequence-to-Sequence Models Can Directly Translate Foreign Speech

24 March 2017
Ron J. Weiss
J. Chorowski
Navdeep Jaitly
Yonghui Wu
Zhehuai Chen
ArXivPDFHTML

Papers citing "Sequence-to-Sequence Models Can Directly Translate Foreign Speech"

4 / 204 papers shown
Title
Semantic speech retrieval with a visually grounded model of
  untranscribed speech
Semantic speech retrieval with a visually grounded model of untranscribed speech
Herman Kamper
Gregory Shakhnarovich
Karen Livescu
29
53
0
05 Oct 2017
Unwritten Languages Demand Attention Too! Word Discovery with
  Encoder-Decoder Models
Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models
Marcely Zanon Boito
Alexandre Berard
Aline Villavicencio
Laurent Besacier
9
21
0
17 Sep 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,921
0
13 Jun 2015
Previous
12345