Add verified FP32 Core ML decoder and upstream license notices

LICENSES/Descript-MIT.txt

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023-present, Descript
+
+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

@@ -4,13 +4,14 @@ language:
   - ja
 pipeline_tag: text-to-speech
 tags:
+  - coreml
   - onnx
   - ios
   - on-device
   - irodori-tts
 ---
 
-# Onsei iOS ONNX Model Packs
+# Onsei iOS ONNX and Core ML Model Packs
 
 ONNX model packs exported for the Onsei iOS client from the following upstream models:
 
@@ -32,7 +33,7 @@ Each pack contains the split `context_kv.onnx` + `dit_step.onnx` execution path
 
 ## Licenses and attribution
 
-The Irodori-TTS model weights, Semantic-DACVAE model weights, ModernBERT-ja-310m encoder/tokenizer, and conversion code are distributed under the MIT License. The legacy llm-jp tokenizer is distributed under Apache License 2.0. See `LICENSES/` and `THIRD_PARTY_NOTICES.md`. Each component remains subject to its own license; no relicensing is implied.
+The Irodori-TTS weights, Japanese Semantic-DACVAE adaptations, ModernBERT-ja-310m encoder/tokenizer and conversion code declare MIT. The underlying Meta DACVAE weights/implementation declare Apache License 2.0; Descript DAC uses MIT. The legacy llm-jp tokenizer uses Apache License 2.0. See `LICENSES/` and `THIRD_PARTY_NOTICES.md`. Each component remains subject to its own license; no relicensing is implied.
 
 ## Responsible use
 
@@ -56,3 +57,7 @@ The ONNX export used here does not add a SilentCipher watermark. Applications us
   howpublished = {https://huggingface.co/Aratako/Irodori-TTS-500M-v3}
 }
 ```
+
+## Native GPU decoder (ios-v3)
+
+`v4.1-small/native_decoder/` contains the verified float32 Core ML decoder. New clients download it together with the ONNX pack and verify each file using SHA-256. The app measures CPU/GPU speed and numerical parity on the device before selecting the faster decoder; CPU remains the fallback. Existing `ios-v1` and `ios-v2` tags remain unchanged. The sidecar includes licenses, attribution and conversion notices.

THIRD_PARTY_NOTICES.md

@@ -36,3 +36,13 @@ The responsible-use restrictions and disclaimers from the upstream model cards a
 - Copyright: SB Intuitions and contributors
 - License: MIT
 - The fine-tuned encoder and exact tokenizer are redistributed as part of the Irodori-TTS-v4.1-Small conversion. Text and caption share one encoder graph.
+
+## DACVAE / Descript Audio Codec ancestry (ONNX and Core ML)
+
+- Semantic-DACVAE-Japanese-32dim source revision: `47376ee24834d7a05a48ebabfe3cde29b3c5e214` (MIT as declared by its model card).
+- Base weights: https://huggingface.co/facebook/dacvae-watermarked (model metadata: Apache-2.0).
+- DACVAE implementation: https://github.com/facebookresearch/dacvae (Apache License 2.0; `LICENSES/Apache-2.0.txt`). Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved.
+- DAC architecture: https://github.com/descriptinc/descript-audio-codec (MIT; `LICENSES/Descript-MIT.txt`). Copyright (c) 2023-present, Descript.
+- The base model README also contains a conflicting “SAM License” sentence; the linked DACVAE implementation LICENSE is Apache-2.0. This distribution preserves the Apache-2.0 license and does not relicense upstream components as MIT.
+- Changes by the Onsei conversion: exported the decoder to a float32 Core ML ML Program using coremltools 9.0, folded weight normalization, froze constant expressions, and bounded batch/time input dimensions. No quantization or retraining. Watermarking remains bypassed as instructed by the Japanese model card. The converted model is not a watermarked-audio guarantee.
+- `native_decoder/manifest.json` records the source ONNX digest, converted file digests and numerical verification. Core ML conversion does not grant any additional rights to upstream weights.

manifest.json

@@ -1,7 +1,7 @@
 {
   "schemaVersion": 1,
   "repository": "raratu/Onsei-iOS-Models",
-  "revision": "ios-v2",
+  "revision": "ios-v3",
   "packs": {
     "500m-v3": {
       "files": [
@@ -157,6 +157,51 @@
           "path": "tokenizer/tokenizer_config.json",
           "size": 668,
           "sha256": "d229a271c64de1a7939d20d3665498e873fa91d5ee2edf135d73ec752cb9c9d3"
+        },
+        {
+          "path": "native_decoder/LICENSES/Apache-2.0.txt",
+          "size": 11359,
+          "sha256": "8c6db340475136df3c1201d458fa5755698eace76e510471ecc9d857d6083dac"
+        },
+        {
+          "path": "native_decoder/LICENSES/Descript-MIT.txt",
+          "size": 1074,
+          "sha256": "5d7a5f644313f30aad5ef032669ada67efdacefecb2c7d7b875683698bd70e87"
+        },
+        {
+          "path": "native_decoder/LICENSES/MIT.txt",
+          "size": 1064,
+          "sha256": "dfd47cc99fd79cced8e0cab04ed81f70b3d4f2f475a75746b341671bd3991c00"
+        },
+        {
+          "path": "native_decoder/LICENSES/ModernBERT-MIT.txt",
+          "size": 1070,
+          "sha256": "284353c80e0d52c06e97af62fd40e4dd1d253fa28f5d1e756121ea1d5d441509"
+        },
+        {
+          "path": "native_decoder/THIRD_PARTY_NOTICES.md",
+          "size": 3269,
+          "sha256": "c671773f21c400c2fdfa6ac14eef6f38eb72401fc309a66d539581b0d5f20b0b"
+        },
+        {
+          "path": "native_decoder/decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel",
+          "size": 73434,
+          "sha256": "a6a0e63dee65754eceac1bee3210ae88a3d17b53ffb744c27225c78ec2691593"
+        },
+        {
+          "path": "native_decoder/decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin",
+          "size": 261380352,
+          "sha256": "738aef9a7e299ea5f5415780b2429f2f46337ec5859c0ff1d3a23b08a07fc12a"
+        },
+        {
+          "path": "native_decoder/decoder.mlpackage/Manifest.json",
+          "size": 617,
+          "sha256": "da4efa7299005d429a4603565986ed5726318adccbfe084179d193b7eb680fd6"
+        },
+        {
+          "path": "native_decoder/manifest.json",
+          "size": 1955,
+          "sha256": "e4ae7d4f73196a532e36ba97b9a02a9947aa52eaa5a51dd4b2975a0caa59bc5d"
         }
       ]
     }

v4.1-small/native_decoder/LICENSES/Apache-2.0.txt

@@ -0,0 +1,203 @@
+
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v4.1-small/native_decoder/LICENSES/Descript-MIT.txt

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023-present, Descript
+
+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.

v4.1-small/native_decoder/LICENSES/MIT.txt

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 Aratako
+
+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.

v4.1-small/native_decoder/LICENSES/ModernBERT-MIT.txt

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2025 SB Intuitions
+
+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.

v4.1-small/native_decoder/THIRD_PARTY_NOTICES.md

@@ -0,0 +1,48 @@
+# Third-party notices
+
+## Irodori-TTS
+
+- v4.1 source: https://huggingface.co/Aratako/Irodori-TTS-v4.1-Small (revision `2b28324dc263ed5e6638b3cf3dd94c82ead07b4b`)
+- v4 implementation: https://github.com/Aratako/Irodori-TTS (revision `8224dafb46d0aba89209a8f905f1cb7e3299d9c1`); shared backbone export and tensor-based attention mask handling for dynamic ONNX inputs.
+- Copyright: Chihiro Arata and contributors
+- Sources: https://huggingface.co/Aratako/Irodori-TTS-500M-v3 and https://huggingface.co/Aratako/Irodori-TTS-600M-v3-VoiceDesign
+- License: MIT (`LICENSES/MIT.txt`)
+- Changes: converted from PyTorch checkpoints to ONNX; split static conditioning projection into `context_kv.onnx`; fixed export dimensions for the iOS runtime.
+
+The responsible-use restrictions and disclaimers from the upstream model cards are reproduced in this repository's README.
+
+## Semantic-DACVAE-Japanese-32dim
+
+- Copyright: Chihiro Arata and contributors
+- Source: https://huggingface.co/Aratako/Semantic-DACVAE-Japanese-32dim
+- License: MIT (`LICENSES/MIT.txt`)
+- Changes: converted encoder and decoder to ONNX for the iOS runtime.
+
+## llm-jp-3-150m tokenizer
+
+- Copyright: LLM-jp / National Institute of Informatics contributors
+- Source: https://huggingface.co/llm-jp/llm-jp-3-150m
+- License: Apache License 2.0 (`LICENSES/Apache-2.0.txt`)
+- Files redistributed: tokenizer JSON and tokenizer configuration metadata.
+
+## ONNX export code
+
+- Source: https://github.com/Aratako/Irodori-TTS
+- License: MIT (`LICENSES/MIT.txt`)
+
+## ModernBERT-ja-310m (v4.1 encoder and tokenizer)
+
+- Source: https://huggingface.co/sbintuitions/modernbert-ja-310m
+- Copyright: SB Intuitions and contributors
+- License: MIT
+- The fine-tuned encoder and exact tokenizer are redistributed as part of the Irodori-TTS-v4.1-Small conversion. Text and caption share one encoder graph.
+
+## DACVAE / Descript Audio Codec ancestry (ONNX and Core ML)
+
+- Semantic-DACVAE-Japanese-32dim source revision: `47376ee24834d7a05a48ebabfe3cde29b3c5e214` (MIT as declared by its model card).
+- Base weights: https://huggingface.co/facebook/dacvae-watermarked (model metadata: Apache-2.0).
+- DACVAE implementation: https://github.com/facebookresearch/dacvae (Apache License 2.0; `LICENSES/Apache-2.0.txt`). Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved.
+- DAC architecture: https://github.com/descriptinc/descript-audio-codec (MIT; `LICENSES/Descript-MIT.txt`). Copyright (c) 2023-present, Descript.
+- The base model README also contains a conflicting “SAM License” sentence; the linked DACVAE implementation LICENSE is Apache-2.0. This distribution preserves the Apache-2.0 license and does not relicense upstream components as MIT.
+- Changes by the Onsei conversion: exported the decoder to a float32 Core ML ML Program using coremltools 9.0, folded weight normalization, froze constant expressions, and bounded batch/time input dimensions. No quantization or retraining. Watermarking remains bypassed as instructed by the Japanese model card. The converted model is not a watermarked-audio guarantee.
+- `native_decoder/manifest.json` records the source ONNX digest, converted file digests and numerical verification. Core ML conversion does not grant any additional rights to upstream weights.

v4.1-small/native_decoder/decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a6a0e63dee65754eceac1bee3210ae88a3d17b53ffb744c27225c78ec2691593
+size 73434

v4.1-small/native_decoder/decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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+oid sha256:738aef9a7e299ea5f5415780b2429f2f46337ec5859c0ff1d3a23b08a07fc12a
+size 261380352

v4.1-small/native_decoder/decoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "7F8C5BAD-4A0B-409B-AB3F-56CDF9F6EE74": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "8051F718-3344-4CAA-9D19-13AF2C5E5770": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        }
+    },
+    "rootModelIdentifier": "7F8C5BAD-4A0B-409B-AB3F-56CDF9F6EE74"
+}

v4.1-small/native_decoder/manifest.json

@@ -0,0 +1,73 @@
+{
+  "version": 1,
+  "source_sha256": "48f55372b800130ce3f56895501fcb154bac486a9ac805da1c39ccd06e2d1e48",
+  "precision": "float32",
+  "latent_dim": 32,
+  "hop_length": 1920,
+  "max_batch": 2,
+  "max_steps": 42,
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