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iChizer0/
nanobot-channel-voice-models

Name: nanobot-channel-voice-models
Availability: InStock

voice-activity-detection

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nanobot-channel-voice models

RKNN model artifacts and a checksum-pinned weights index for nanobot-channel-voice.

Install

The repository includes four official openWakeWord phrase heads, each available as an original-ONNX package for CPU/ONNX-capable hosts and as a validated RV1126B hybrid package:

text

wake/openwakeword/alexa/onnx
wake/openwakeword/alexa/rknn.rv1126b
wake/openwakeword/hey-jarvis/onnx
wake/openwakeword/hey-jarvis/rknn.rv1126b
wake/openwakeword/hey-mycroft/onnx
wake/openwakeword/hey-mycroft/rknn.rv1126b
wake/openwakeword/hey-rhasspy/onnx
wake/openwakeword/hey-rhasspy/rknn.rv1126b

Choose one variant for the target host. Every fetch is a complete package: ONNX entries install the three original upstream graphs plus a phrase sidecar; RV1126B entries install the phrase head, exact Python-mel filterbank, and static RKNN embedding. The runtime fetches a complete model entry through nanobot-voice:

nanobot-voice list
nanobot-voice fetch stt/whisper/base/rknn.rv1126b --yes

To use this index explicitly:

export NANOBOT_VOICE_INDEX=https://huggingface.co/iChizer0/nanobot-channel-voice-models/resolve/main/weights-index.json
nanobot-voice list

weights-index.json is the authoritative manifest of available keys, source provenance, checksums, and acceptance notices. Files under models/*/_shared/ are implementation storage for shared dependencies; they are not selectable model keys.

License and redistribution notices

Each model entry has its own license and provenance in weights-index.json. Review and comply with those terms before use or redistribution. In particular:

The openWakeWord entries (both .../onnx and .../rknn.rv1126b) contain official pretrained phrase heads, which are CC-BY-NC-SA-4.0. They are non-commercial and share-alike; these are not unrestricted wake-word models. ONNX entries use the original v0.5.1 melspectrogram.onnx and embedding_model.onnx backbone. RV1126B entries use the exact Python mel frontend plus static fp16 RKNN embedding, while each small phrase head remains ONNX.
The converted melspectrogram.rknn is deliberately not distributed because its RV1126B numerical output is incorrect. The device-neutral mel_filters.npy is the frozen upstream 257x32 matrix required by the validated Python frontend.
The openWakeWord package does not include the upstream test WAV or any unverified third-party frontend data.

The repository's four openWakeWord packages are documented in OPENWAKEWORD_WEIGHTS_LAYOUT.md, which records the hybrid runtime contract, portable phrase-head storage, physical shared-file layout, selected checksums, and post-upload validation procedure.

MMS-TTS English is CC-BY-NC-4.0 (non-commercial use only).
DataBaker Chinese Matcha (tts/matcha/zh-CN/baker/...) is subject to the DataBaker Chinese Standard Mandarin Speech Corpus non-commercial terms.
The LJSpeech Matcha entry requires review of the LJSpeech Dataset License and applicable upstream Matcha, Vocos, and sherpa-onnx terms.
The bilingual tts/matcha/zh-en/icefall/... entry is a derived RV1126B fp16 static split of csukuangfj/matcha-icefall-zh-en and its matched 16 kHz Vocos. The ModelScope acoustic source reports Apache-2.0 and Vocos is MIT. The source model's optional espeak-ng-data frontend pack is not distributed here pending independent redistribution-license/provenance confirmation; without it, an installed eSpeak release may produce different English phonemes.

No license is granted here beyond the licenses and terms of the individual upstream artifacts.