policy
stt_rl_env
kclaudeeager · PyTorch
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Overview
Name
stt_rl_env
Author
kclaudeeager
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
A reinforcement learning environment for speech-to-text models, using OpenAI's Whisper and Groq's agent framework. This project provides a pipeline to train and evaluate STT models in an RL setting, leveraging the FLEURS dataset for multilingual audio samples.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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