×
Well done. You've clicked the tower. This would actually achieve something if you had logged in first. Use the key for that. The name takes you home. This is where all the applicables sit. And you can't apply any changes to my site unless you are logged in.

Our policy is best summarized as "we don't care about _you_, we care about _them_", no emails, so no forgetting your password. You have no rights. It's like you don't even exist. If you publish material, I reserve the right to remove it, or use it myself.

Don't impersonate. Don't name someone involuntarily. You can lose everything if you cross the line, and no, I won't cancel your automatic payments first, so you'll have to do it the hard way. See how serious this sounds? That's how serious you're meant to take these.

×
Register


Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
  • Your password can’t be too similar to your other personal information.
  • Your password must contain at least 8 characters.
  • Your password can’t be a commonly used password.
  • Your password can’t be entirely numeric.
Enter the same password as before, for verification.
Login

Grow A Dic
Define A Word
Make Space
Set Task
Mark Post
Apply Votestyle
Create Votes
(From: saved spaces)
Exclude Votes
Apply Dic
Exclude Dic

SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge. (arXiv:2309.01437v2 [cs.SD] UPDATED)

Click here to flash read.

Recently, excellent progress has been made in speech recognition. However,
pure data-driven approaches have struggled to solve the problem in
domain-mismatch and long-tailed data. Considering that knowledge-driven
approaches can help data-driven approaches alleviate their flaws, we introduce
sememe-based semantic knowledge information to speech recognition (SememeASR).
Sememe, according to the linguistic definition, is the minimum semantic unit in
a language and is able to represent the implicit semantic information behind
each word very well. Our experiments show that the introduction of sememe
information can improve the effectiveness of speech recognition. In addition,
our further experiments show that sememe knowledge can improve the model's
recognition of long-tailed data and enhance the model's domain generalization
ability.

Click here to read this post out
ID: 460842; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: Oct. 10, 2023, 7:32 a.m. Changes:
/u/anonymous
Dictionaries:
Words:
Spaces:
Views: 11
CC:
No creative common's license
Comments: