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7055bab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | Sado is the name AlgorithVoice gives to STT Uz FastConformer Hybrid
Transducer-CTC Large P&C by NVIDIA Corporation, licensed under CC-BY-4.0
(https://creativecommons.org/licenses/by/4.0/). NVIDIA does not endorse
AlgorithVoice or this repository.
This repository is a copy of nvidia/stt_uz_fastconformer_hybrid_large_pc with
these files added, for use with sherpa-onnx in AlgorithVoice:
encoder.int8.onnx decoder.onnx joiner.onnx tokens.txt
Changes, as CC-BY asks to be stated: the files are the transducer (RNNT)
branch of the same model, exported to ONNX by Algorithco with NeMo, with the
metadata sherpa-onnx reads. The encoder's MatMul weights are quantized to 8
bits; the convolutions, the decoder and the joiner stay in 32-bit float,
because a quantized joiner drops words. Nothing was trained.
Measured on 100 FLEURS uz_uz test recordings: 14.1% word error rate with
these files in AlgorithVoice, against 14.4% for the CTC branch.
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