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iChizer0/nanobot-channel-voice-models
nanobot-channel-voice-models is a text-to-speech model from iChizer0. Use it when you need text read aloud. The card lists the license as other.
RKNN model artifacts and a checksum-pinned weights index for nanobot-channel-voice.
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Updated Sep 24, 2026
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From the Hugging Face model README
RKNN model artifacts and a checksum-pinned weights index for nanobot-channel-voice.
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:
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.
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:
.../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.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 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.
tts/matcha/zh-CN/baker/...) is subject to the DataBaker Chinese Standard Mandarin Speech Corpus non-commercial terms.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 entry ships the upstream espeak-ng-data English frontend pack as espeak-ng-data.tar.bz2, which nanobot-voice fetch unpacks beside the model files (the file is marked "extract": true in the index). The pack is byte-identical to the upstream model repository's espeak-ng-data/ (355/355 files sha256-verified) and to the pack used by the on-device validation harness — it is the training pairing, so no espeak-ng version pinning is needed. espeak-ng is GPL-3.0; the license text and provenance note ship as espeak-ng-data.LICENSE.txt. This entry requires a nanobot-channel-voice version with the static zh-en-lexicon Matcha frontend and eSpeak en-us support for English; a plugin too old to extract archives installs the archive as a plain file instead — unpack it beside the model files or point tts.matcha.espeakDataDir at an extracted copy.deprecated: true, renamed_to) in weights-index.json for two index generations. See MIGRATION.md for the rename table and mechanical config-rewrite instructions.No license is granted here beyond the licenses and terms of the individual upstream artifacts.