Graduation project involving a modification of the Surgarscape agent-based model to fit custom script-based behaviour for agents, as well as graphic environment import and modifiable event-driven monitoring of agent interactions.
Portuguese ASR model fine-tuned on XLSR-53 for 16kHz audio input
...It achieves a WER of 11.3% (or 9.01% with LM) on Common Voice test data, demonstrating high accuracy for a single-language ASR model. Inference can be done using HuggingSound or via a custom PyTorch script using Hugging Face Transformers and Librosa. Training scripts and evaluation methods are open source and available on GitHub. It is released under the Apache 2.0 license and intended for ASR tasks in Brazilian Portuguese.
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