ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.00131
  4. Cited By
Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech
  Recognition

Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition

30 June 2020
Maarten Van Segbroeck
Sri Harish Reddy Mallidi
Brian King
I-Fan Chen
Gurpreet Chadha
Roland Maas
    VLMAI4TS
ArXiv (abs)PDFHTML

Papers citing "Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition"

3 / 3 papers shown
Multi-View Frequency-Attention Alternative to CNN Frontends for
  Automatic Speech Recognition
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech RecognitionInterspeech (Interspeech), 2023
Belen Alastruey
Lukas Drude
Jahn Heymann
Simon Wiesler
155
1
0
12 Jun 2023
Time-Frequency Localization Using Deep Convolutional Maxout Neural
  Network in Persian Speech Recognition
Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech RecognitionNeural Processing Letters (NPL), 2021
Arash Dehghani
Seyyed Ali Seyyedsalehi
225
1
0
09 Aug 2021
Do You Listen with One or Two Microphones? A Unified ASR Model for
  Single and Multi-Channel Audio
Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel AudioInternational Workshop on Acoustic Signal Enhancement (IWAENC), 2021
Gokce Keskin
Minhua Wu
Brian King
Sri Harish Reddy Mallidi
Yang Gao
J. Droppo
Ariya Rastrow
Roland Maas
158
0
0
04 Jun 2021
1
Page 1 of 1