HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Utterance-level pronounciation scoring
Utterance Level Pronounciation Scoring On
Utterance Level Pronounciation Scoring On
Metrics
Pearson correlation coefficient (PCC)
Results
Performance results of various models on this benchmark
Columns
Model Name
Pearson correlation coefficient (PCC)
Paper Title
3MH
0.811
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment
HiPAMA-Librispeech
0.754
Hierarchical Pronunciation Assessment with Multi-Aspect Attention
GOPT-Librispeech
0.74
Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment
GOPT-PAII
0.73
Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment
0 of 4 row(s) selected.
Previous
Next
Utterance Level Pronounciation Scoring On | SOTA | HyperAI