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. 2007.04205
  4. Cited By
Analysis of Predictive Coding Models for Phonemic Representation
  Learning in Small Datasets

Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets

8 July 2020
María Andrea Cruz Blandón
Okko Rasanen
    SSL
ArXivPDFHTML

Papers citing "Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets"

7 / 7 papers shown
Title
Self-supervised Predictive Coding Models Encode Speaker and Phonetic
  Information in Orthogonal Subspaces
Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces
Oli Danyi Liu
Hao Tang
Sharon Goldwater
SSL
33
12
0
21 May 2023
Predicting within and across language phoneme recognition performance of
  self-supervised learning speech pre-trained models
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Han Ji
T. Patel
O. Scharenborg
42
7
0
24 Jun 2022
Self-supervised representation learning from 12-lead ECG data
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
21
141
0
23 Mar 2021
A comparison of self-supervised speech representations as input features
  for unsupervised acoustic word embeddings
A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings
Lisa van Staden
Herman Kamper
SSL
31
16
0
14 Dec 2020
Similarity Analysis of Self-Supervised Speech Representations
Similarity Analysis of Self-Supervised Speech Representations
Yu-An Chung
Yonatan Belinkov
James R. Glass
SSL
36
36
0
22 Oct 2020
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic
  Adaptive Metrics
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
Okko Rasanen
María Andrea Cruz Blandón
24
25
0
03 Aug 2020
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,748
0
26 Sep 2016
1