An INT8 ONNX build of nvidia/parakeet-tdtctc-0.6b-ja (TDT branch). It is the Japanese ASR model used by euhadra. Only the encoder's constant-weight MatMuls are quantised. On FLEURS-ja this keeps the CER of the FP32 export. A build that quantises every op loses 35 %. On the 321 utterances, this build's hypothesis is identical to FP32's on 257. Of the rest, 21 score worse and 23 better. Measurements and discussion: euhadra#173. The layout is the one parakeet-rs-featsize loads: it looks for encoder-model.onnx, then encoder-model.int8.onnx. Don't put FP32 encoder files in the same directory. 1. Original model: nvidia/parakeet-tdtctc-0.6b-ja, revision 44edb27eea9317daf89333e75eb830db4b1cc298…
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Penta2himajin
penta2himajin
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Published tasks: Speech recognition.
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