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from dataclasses import dataclass | |
from enum import Enum | |
class Task: | |
benchmark: str | |
metric: str | |
col_name: str | |
# Init: to update with your specific keys | |
class Tasks(Enum): | |
# task_key in the json file, metric_key in the json file, name to display in the leaderboard | |
task0 = Task("tts_vocoder1", "MCD", "MCD Eval") | |
task1 = Task("tts_vocoder2", "Log F0 RMSE", "Log F0 RMSE Eval") | |
task2 = Task("tts_vocoder3", "UTMOS", "UTMOS Eval") | |
# Your leaderboard name | |
TITLE = """<h1 align="center" id="space-title">Discrete-based Vocoder Leaderboard</h1>""" | |
# What does your leaderboard evaluate? | |
INTRODUCTION_TEXT = """ | |
The leaderboard for discrete speech challenge (TTS Challenge - Vocoder Track) at Interspeech 2024. Challenge details can be found at https://www.wavlab.org/activities/2024/Interspeech2024-Discrete-Speech-Unit-Challenge/ | |
""" | |
# Which evaluations are you running? how can people reproduce what you have? | |
LLM_BENCHMARKS_TEXT = f""" | |
## How it works | |
The evaluation (static version) are conducted by the organizers only. | |
We will accept submissions from the google form (see rules in the challenge website). | |
## Reproducibility | |
To reproduce our results, please refer to the evaluation scripts at https://github.com/espnet/espnet/tree/master/egs2/TEMPLATE/tts1#evaluation | |
""" | |
EVALUATION_QUEUE_TEXT = """ | |
""" | |
CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results and the challenge (coming soon, for now, please cite the challenge website)" | |
CITATION_BUTTON_TEXT = r""" | |
""" | |