Add LICENSE and upstream attribution/modification notices

LICENSE

@@ -0,0 +1,34 @@
+Upstream Copyright & Modification Notice
+========================================
+- Original Model: OpenAI Whisper (`openai/whisper-tiny`)
+  Copyright (c) 2022 OpenAI
+  Source: https://github.com/openai/whisper
+- ONNX Export: `onnx-community/whisper-tiny`
+  Source: https://huggingface.co/onnx-community/whisper-tiny
+- Ambarella CVflow v3 N1-655 Port:
+  Copyright (C) 2026, Ambarella International LLC.
+  Compiled Whisper-Tiny encoder to CVflow v3 N1-655 (`vdg_arch = 0xB`,
+  `cavalry_gen 3.0.4`) binary `n1-655_whisper_tiny_encoder_amba_optimized.bin`.
+
+MIT License
+
+Copyright (c) 2022 OpenAI
+Copyright (C) 2026, Ambarella International LLC
+
+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.

README.md

@@ -5,11 +5,22 @@ license: mit
 
 # Whisper-Tiny Encoder (Ambarella N1-655 CVflow v3 NVP)
 
+Whisper-Tiny Encoder is the audio encoder stage of OpenAI Whisper-Tiny, mapping 30-second 80-bin log-Mel spectrograms into dense acoustic representations (`[1, 1500, 384]`) on the Ambarella N1-655 CVflow v3 NVP.
+
+Original paper: [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)
+
 Model Configuration:
-- Upstream source: [https://huggingface.co/onnx-community/whisper-tiny](https://huggingface.co/onnx-community/whisper-tiny)
+- Reference implementation: [https://github.com/openai/whisper](https://github.com/openai/whisper)
+- Original Weight: [https://huggingface.co/onnx-community/whisper-tiny](https://huggingface.co/onnx-community/whisper-tiny)
+- Dataset: OpenAI Multilingual Weakly Supervised Audio Dataset (680k hours)
+- License: MIT (`LICENSE`)
 - Support Cooper version:
   - CNNGen: `[3.9.0 / n1-655x]` (`cavalry_gen 3.0.4`)
 
+## Upstream Attribution & Modification Notice
+- **Upstream Copyright**: Copyright (c) 2022 OpenAI (`openai/whisper-tiny`, `onnx-community/whisper-tiny`), licensed under the MIT License.
+- **Modification Notice**: Modified by Ambarella International LLC (2026). Compiled the Whisper-Tiny audio encoder (`[1, 80, 3000]` -> `[1, 1500, 384]`) via Ambarella Cooper SDK CNNGen 3.9.0 (`cavalry_gen 3.0.4`) into CVflow v3 N1-655 (`vdg_arch = 0xB`) Cavalry DAG binary format (`n1-655_whisper_tiny_encoder_amba_optimized.bin`).
+
 ## NVP Port & Runtime Specification
 - **Target SoC**: Ambarella N1-655 (`vdg_arch = 0xB`, CVflow v3 `cavalry_gen` 3.0.4)
 - **Input port**: `input_features` `[1, 80, 3000]` IEEE FP16 (16 kHz PCM, 30 s window, N_FFT=400, hop=160, 80-bin Slaney log10-Mel)