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README.md

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+---
+license: other
+license_name: mixed-see-readme
+language:
+  - en
+  - hi
+tags:
+  - offline
+  - speech-to-speech
+  - translation
+  - android
+  - onnx
+  - sherpa-onnx
+pipeline_tag: translation
+---
+
+# VoiceAI Android model bundle (offline English → Hindi voice translation)
+
+Everything the VoiceAI Android app downloads on first launch so it can work **fully offline**:
+English speech → English text → Hindi text → Hindi speech. The app fetches
+`https://huggingface.co/Kg1729/voiceai-android-models/resolve/main/<path>` for every file in
+`models.json` (size + SHA-256 per file) and verifies each checksum.
+
+| Path | Model | Runtime on the phone | License |
+|---|---|---|---|
+| `vad/silero_vad.onnx` | [Silero VAD](https://github.com/snakers4/silero-vad) | sherpa-onnx | MIT |
+| `stt/moonshine-base/` | [Moonshine base (English)](https://github.com/usefulsensors/moonshine), int8, sherpa-onnx export | sherpa-onnx | MIT |
+| `mt/indictrans2/` | [IndicTrans2 en→indic distilled 200M](https://huggingface.co/ai4bharat/indictrans2-en-indic-dist-200M) by AI4Bharat, **our own int8 ONNX export** (encoder + one-step decoder with a KV cache, de-duplicated vocabulary) + a SentencePiece tokenizer model for onnxruntime-extensions | ONNX Runtime | MIT |
+| `tts/piper-hi/` | [Piper](https://github.com/rhasspy/piper) voice `hi_IN-rohan-medium` (int8, sherpa-onnx export) + espeak-ng data | sherpa-onnx | Voice trained on IIT Madras [IndicTTS](https://www.iitm.ac.in/donlab/indictts/) "Hindi Mono Male" data: see its [license](https://www.iitm.ac.in/donlab/indictts/downloads/license.pdf). espeak-ng data: GPL-3.0 |
+
+These are redistributed unchanged from their public releases (Silero VAD, Moonshine and Piper via
+[sherpa-onnx releases](https://github.com/k2-fsa/sherpa-onnx/releases), Piper also on
+[rhasspy/piper-voices](https://huggingface.co/rhasspy/piper-voices)), except IndicTrans2, which is converted
+by `edge/export_indictrans2.py` + `edge/dedupe_indictrans2.py` in the VoiceAI project.
+
+**Note on the Hindi voice:** the IndicTTS data license could not be verified when this bundle was
+published. If you reuse this bundle, check it for your use case, especially commercial use.
+
+## Quality (measured in the VoiceAI project)
+- Speech recognition: WER 7.2 % on LibriSpeech (dummy set), vs 5.6 % for Whisper small.en
+- Translation: chrF++ 50.4 on IN22-Conv (FLORES 59.9), the same on a Samsung Galaxy F15 (Android) and on the laptop
+- Hindi speech: intelligibility CER 15.8 % on the phone (Whisper-small judge)
+
+Total: 370 files, ~517 MB.

models.json

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+  "version": 1,
+  "created": "2026-09-26",
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mt/indictrans2/mt_config.json

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stt/moonshine-base/LICENSE

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+MIT License
+
+Copyright (c) 2024 Useful Sensors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

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