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Releases: VoxRT/voxrt-asr-models

v0.1.2 — streaming-medium-pc weights (re-tagged for ASR iOS v0.1.2)

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@make1986 make1986 released this 28 May 11:46

Re-tag of v0.1.1 — the .vxrt file is bit-identical to v0.1.1 (SHA-256:
0d723e429157a8a8cb58739a1f090574f2f23db311ca7916b43411f5f727c79c).

This tag exists so the iOS voxrt-asr-ios v0.1.2 consumer README links resolve.
Pair with:

  • iOS: voxrt-asr-ios v0.1.2 (xcframework Headers/ collision fix)
  • Android: voxrt-asr-android v0.1.1 (unchanged from v0.1.1 release)

Download

curl -fLO https://github.com/VoxRT/voxrt-asr-models/releases/download/v0.1.2/streaming_medium_pc.vxrt

SHA-256: 0d723e429157a8a8cb58739a1f090574f2f23db311ca7916b43411f5f727c79c

v0.1.1 — streaming-medium-pc weights

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@make1986 make1986 released this 28 May 08:49

First successful public release of the streaming-medium-pc ASR model weights, packaged for the VoxRT on-device inference runtime.

(v0.1.0 was tagged but its companion voxrt-asr-android library AAR failed to build on JitPack; v0.1.1 is the fixed version. Use v0.1.1
throughout.)

Pair with one of the consumer libraries:

What's inside

  • streaming_medium_pc.vxrt — NVIDIA NeMo FastConformer Hybrid Medium (32M parameters), packed into VoxRT's encrypted .vxrt v2 format. ~61
    MB on disk. Bit-identical to v0.1.0 — only the version tag differs.
  • Hybrid CTC + RNN-T decoder heads. Cache-aware streaming with ~1.1 s chunks.
  • WER on LibriSpeech test-clean (500 utterances): 3.267 % (RNN-T) / 4.895 % (CTC).

Download

curl -fLO https://github.com/VoxRT/voxrt-asr-models/releases/download/v0.1.1/streaming_medium_pc.vxrt

SHA-256: 0d723e429157a8a8cb58739a1f090574f2f23db311ca7916b43411f5f727c79c

Use it

implementation("com.github.VoxRT:voxrt-asr-android:v0.1.1")

License