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Independent publisher

Shige Dondon

shigedonsan

Models in Library1
Datasets in Library0
Models on Hugging Face1
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Speech recognition.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

A Windows x64 CPU package for offline transcription with sherpa-onnx. The decoder has a statically exported 4096-position KV cache. It uses a mixed INT8/FP32 decoder and retains the matching FP16 encoder and convolution frontend from the pinned sherpa-compatible ONNX export. - maxtotallen: 4096; tested maxnewtokens: 1024 The encoder is kept FP16 because the compatible INT8 encoder from a separate 512-context export substantially reduced Japanese recognition quality in a controlled comparison. On the same FLEURS Japanese sample, the mixed decoder with the FP16 encoder measured 8.2% character error rate (CER), compared with 5.5% for the all-FP16 source and 22.7% when using that separate INT8…

Open weights apache-2.0 sherpa-onnx