[host]
Browse files- app.py +2 -1
- leaderboard_results.csv +2 -2
app.py
CHANGED
@@ -5,7 +5,8 @@ import numpy as np
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# Load the leaderboard data
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def load_data():
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df = pd.read_csv("leaderboard_results.csv"
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return df
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# Create a bar chart visualization of the accuracy scores
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# Load the leaderboard data
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def load_data():
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df = pd.read_csv("leaderboard_results.csv", quotechar='"', escapechar='\\',
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skipinitialspace=True, quoting=pd.io.common.QUOTE_MINIMAL)
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return df
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# Create a bar chart visualization of the accuracy scores
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leaderboard_results.csv
CHANGED
@@ -1,6 +1,6 @@
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1 |
Test Acc,Solution,Institution,Region,Paper,Lead Author
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0.75162,Mosaic,Florida International University,US,Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs,Enshi Zhang
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0.75059,Edinburgh,University of Edinburgh,UK,Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models,"Pavel Stepachev and Pinzhen Chen"
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0.64522,SLAM,Academia Sinica,TW,A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models,"Speech, Language and Music Processing
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0.58809,TeamBlack,Columbia University,US,Post-ASR LLM-Based Speech Emotion Recognition: A fight between top LLMs,Sounak Ray
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0.5518,GPT-3.5 Turbo,Baseline,Global,"Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition",Official
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Test Acc,Solution,Institution,Region,Paper,Lead Author
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0.75162,Mosaic,Florida International University,US,Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs,Enshi Zhang
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0.75059,Edinburgh,University of Edinburgh,UK,Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models,"Pavel Stepachev and Pinzhen Chen"
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0.64522,SLAM,Academia Sinica,TW,A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models,"Speech, Language and Music Processing Laboratory"
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0.58809,TeamBlack,Columbia University,US,"Post-ASR LLM-Based Speech Emotion Recognition: A fight between top LLMs",Sounak Ray
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0.5518,GPT-3.5 Turbo,Baseline,Global,"Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition",Official
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