Initial Supertonic 3 release

.gitattributes

@@ -0,0 +1,2 @@
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,3 @@
+.DS_Store
+dev
+.vscode

LICENSE

@@ -0,0 +1,209 @@
+BigScience Open RAIL-M License
+dated August 18, 2022
+
+Section I: PREAMBLE
+
+This Open RAIL-M License was created by BigScience, a collaborative open innovation project aimed at
+the responsible development and use of large multilingual datasets and Large Language Models
+(“LLMs”). While a similar license was originally designed for the BLOOM model, we decided to adapt it
+and create this license in order to propose a general open and responsible license applicable to other
+machine learning based AI models (e.g. multimodal generative models).
+In short, this license strives for both the open and responsible downstream use of the accompanying
+model. When it comes to the open character, we took inspiration from open source permissive licenses
+regarding the grant of IP rights. Referring to the downstream responsible use, we added use-based
+restrictions not permitting the use of the Model in very specific scenarios, in order for the licensor to be
+able to enforce the license in case potential misuses of the Model may occur. Even though downstream
+derivative versions of the model could be released under different licensing terms, the latter will always
+have to include - at minimum - the same use-based restrictions as the ones in the original license (this
+license).
+The development and use of artificial intelligence (“AI”), does not come without concerns. The world has
+witnessed how AI techniques may, in some instances, become risky for the public in general. These risks
+come in many forms, from racial discrimination to the misuse of sensitive information.
+BigScience believes in the intersection between open and responsible AI development; thus, this License
+aims to strike a balance between both in order to enable responsible open-science in the field of AI.
+This License governs the use of the model (and its derivatives) and is informed by the model card
+associated with the model.
+
+NOW THEREFORE, You and Licensor agree as follows:
+
+1. Definitions
+(a) "License" means the terms and conditions for use, reproduction, and Distribution as defined in
+this document.
+(b) “Data” means a collection of information and/or content extracted from the dataset used with the
+Model, including to train, pretrain, or otherwise evaluate the Model. The Data is not licensed under
+this License.
+(c)“Output” means the results of operating a Model as embodied in informational content resulting
+therefrom.
+(d)“Model” means any accompanying machine-learning based assemblies (including checkpoints),
+consisting of learnt weights, parameters (including optimizer states), corresponding to the model
+architecture as embodied in the Complementary Material, that have been trained or tuned, in whole or
+in part on the Data, using the Complementary Material.
+(e) “Derivatives of the Model” means all modifications to the Model, works based on the Model, or any
+other model which is created or initialized by transfer of patterns of the weights, parameters,
+activations or output of the Model, to the other model, in order to cause the other model to perform
+similarly to the Model, including - but not limited to - distillation methods entailing the use of
+intermediate data representations or methods based on the generation of synthetic data by the Model
+for training the other model.
+(f)“Complementary Material” means the accompanying source code and scripts used to define,
+run, load, benchmark or evaluate the Model, and used to prepare data for training or evaluation, if
+any. This includes any accompanying documentation, tutorials, examples, etc, if any.
+(g) “Distribution” means any transmission, reproduction, publication or other sharing of the Model or
+Derivatives of the Model to a third party, including providing the Model as a hosted service made
+available by electronic or other remote means - e.g. API-based or web access.
+(h) “Licensor” means the copyright owner or entity authorized by the copyright owner that is
+granting the License, including the persons or entities that may have rights in the Model and/or
+distributing the Model.
+(i) "You" (or "Your") means an individual or Legal Entity exercising permissions granted by this
+License and/or making use of the Model for whichever purpose and in any field of use, including
+usage of the Model in an end-use application - e.g. chatbot, translator, image generator.
+(j) “Third Parties” means individuals or legal entities that are not under common control with
+Licensor or You.
+(k) "Contribution" means any work of authorship, including the original version of the Model and
+any modifications or additions to that Model or Derivatives of the Model thereof, that is
+intentionally submitted to Licensor for inclusion in the Model by the copyright owner or by an
+individual or Legal Entity authorized to submit on behalf of the copyright owner. For the
+purposes of this definition,
+“submitted” means any form of electronic, verbal, or written
+communication sent to the Licensor or its representatives, including but not limited to
+communication on electronic mailing lists, source code control systems, and issue tracking
+systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and
+improving the Model, but excluding communication that is conspicuously marked or otherwise
+designated in writing by the copyright owner as "Not a Contribution."
+(l) "Contributor" means Licensor and any individual or Legal Entity on behalf of whom a
+Contribution has been received by Licensor and subsequently incorporated within the Model.
+
+
+Section II: INTELLECTUAL PROPERTY RIGHTS
+
+Both copyright and patent grants apply to the Model, Derivatives of the Model and Complementary
+Material. The Model and Derivatives of the Model are subject to additional terms as described in Section III.
+
+2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor
+hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare, publicly display, publicly perform, sublicense, and distribute the
+Complementary Material, the Model, and Derivatives of the Model.
+
+3. Grant of Patent License. Subject to the terms and conditions of this License and where and as
+applicable, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge,
+royalty-free, irrevocable (except as stated in this paragraph) patent license to make, have made, use, offer
+to sell, sell, import, and otherwise transfer the Model and the Complementary Material, where such
+license applies only to those patent claims licensable by such Contributor that are necessarily infringed by
+their Contribution(s) alone or by combination of their Contribution(s) with the Model to which such
+Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim
+or counterclaim in a lawsuit) alleging that the Model and/or Complementary Material or a Contribution
+incorporated within the Model and/or Complementary Material constitutes direct or contributory patent
+infringement, then any patent licenses granted to You under this License for the Model and/or Work shall
+terminate as of the date such litigation is asserted or filed.
+Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
+
+4. Distribution and Redistribution. You may host for Third Party remote access purposes (e.g.
+software-as-a-service), reproduce and distribute copies of the Model or Derivatives of the Model thereof
+in any medium, with or without modifications, provided that You meet the following conditions:
+
+a. Use-based restrictions as referenced in paragraph 5 MUST be included as an enforceable provision
+by You in any type of legal agreement (e.g. a license) governing the use and/or distribution of the
+Model or Derivatives of the Model, and You shall give notice to subsequent users You Distribute to,
+that the Model or Derivatives of the Model are subject to paragraph 5. This provision does not apply
+to the use of Complementary Material.
+
+b. You must give any Third Party recipients of the Model or Derivatives of the Model a copy of this
+License;
+
+c. You must cause any modified files to carry prominent notices stating that You changed the files;
+
+d. You must retain all copyright, patent, trademark, and attribution notices excluding those notices
+that do not pertain to any part of the Model, Derivatives of the Model.
+You may add Your own copyright statement to Your modifications and may provide additional or
+different license terms and conditions - respecting paragraph 4.a.
+- for use, reproduction, or Distribution
+of Your modifications, or for any such Derivatives of the Model as a whole, provided Your use,
+reproduction, and Distribution of the Model otherwise complies with the conditions stated in this License.
+
+5. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions.
+Therefore You cannot use the Model and the Derivatives of the Model for the specified restricted uses. You
+may use the Model subject to this License, including only for lawful purposes and in accordance with the
+License. Use may include creating any content with, finetuning, updating, running, training, evaluating and/or
+reparametrizing the Model. You shall require all of Your users who use the Model or a Derivative of the Model
+to comply with the terms of this paragraph (paragraph 5).
+
+6. The Output You Generate. Except as set forth herein, Licensor claims no rights in the Output You
+generate using the Model. You are accountable for the Output you generate and its subsequent uses. No
+use of the output can contravene any provision as stated in the License.
+
+Section IV: OTHER PROVISIONS
+
+7. Updates and Runtime Restrictions. To the maximum extent permitted by law, Licensor reserves the
+right to restrict (remotely or otherwise) usage of the Model in violation of this License, update the Model
+through electronic means, or modify the Output of the Model based on updates. You shall undertake
+reasonable efforts to use the latest version of the Model.
+
+8. Trademarks and related. Nothing in this License permits You to make use of Licensors’ trademarks,
+trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between the
+parties; and any rights not expressly granted herein are reserved by the Licensors.
+
+9. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides
+the Model and the Complementary Material (and each Contributor provides its Contributions) on an "AS
+IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied,
+including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT,
+MERCHANTABILITY , or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for
+determining the appropriateness of using or redistributing the Model, Derivatives of the Model, and the
+Complementary Material and assume any risks associated with Your exercise of permissions under this
+License.
+
+10. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence),
+contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or
+agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect,
+special, incidental, or consequential damages of any character arising as a result of this License or out of
+the use or inability to use the Model and the Complementary Material (including but not limited to
+damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other
+commercial damages or losses), even if such Contributor has been advised of the possibility of such
+damages.
+
+11. Accepting Warranty or Additional Liability. While redistributing the Model, Derivatives of the
+Model and the Complementary Material thereof, You may choose to offer, and charge a fee for, acceptance
+of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License.
+However, in accepting such obligations, You may act only on Your own behalf and on Your sole
+responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and
+hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor
+by reason of your accepting any such warranty or additional liability.
+
+12. If any provision of this License is held to be invalid, illegal or unenforceable, the remaining
+provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
+
+END OF TERMS AND CONDITIONS
+
+Attachment A
+
+Use Restrictions
+
+You agree not to use the Model or Derivatives of the Model:
+(a) In any way that violates any applicable national, federal, state, local or international law
+or regulation;
+(b) For the purpose of exploiting, harming or attempting to exploit or harm minors in any
+way;
+(c) To generate or disseminate verifiably false information and/or content with the purpose of
+harming others;
+(d) To generate or disseminate personal identifiable information that can be used to harm an
+individual;
+(e) To generate or disseminate information and/or content (e.g. images, code, posts, articles),
+and place the information and/or content in any context (e.g. bot generating tweets)
+without expressly and intelligibly disclaiming that the information and/or content is
+machine generated;
+(f) To defame, disparage or otherwise harass others;
+(g) To impersonate or attempt to impersonate (e.g. deepfakes) others without their consent;
+(h) For fully automated decision making that adversely impacts an individual’s legal rights or
+otherwise creates or modifies a binding, enforceable obligation;
+(i) For any use intended to or which has the effect of discriminating against or harming
+individuals or groups based on online or offline social behavior or known or predicted
+personal or personality characteristics;
+(j) To exploit any of the vulnerabilities of a specific group of persons based on their age,
+social, physical or mental characteristics, in order to materially distort the behavior of a
+person pertaining to that group in a manner that causes or is likely to cause that person or
+another person physical or psychological harm;
+(k) For any use intended to or which has the effect of discriminating against individuals or
+groups based on legally protected characteristics or categories;
+(l) To provide medical advice and medical results interpretation;
+(m) To generate or disseminate information for the purpose to be used for administration of
+justice, law enforcement, immigration or asylum processes, such as predicting an
+individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal
+relationships between assertions made in documents, indiscriminate and
+arbitrarily-targeted use).

README.md

@@ -0,0 +1,145 @@
+---
+license: openrail
+language:
+    - en
+    - ko
+    - ja
+    - ar
+    - bg
+    - cs
+    - da
+    - de
+    - el
+    - es
+    - et
+    - fi
+    - fr
+    - hi
+    - hr
+    - hu
+    - id
+    - it
+    - lt
+    - lv
+    - nl
+    - pl
+    - pt
+    - ro
+    - ru
+    - sk
+    - sl
+    - sv
+    - tr
+    - uk
+    - vi
+pipeline_tag: text-to-speech
+tags:
+    - text-to-speech
+    - speech-synthesis
+    - tts
+    - onnx
+    - multilingual
+    - on-device
+library_name: supertonic
+---
+
+# Supertonic 3 | Lightning Fast, On-Device, Accurate TTS
+
+![Supertonic 3 Preview](img/Supertonic3_HeroImage.png)
+
+<p align="center">
+  <a href="https://huggingface.co/spaces/Supertone/supertonic-3"><img src="https://img.shields.io/badge/Demo-Hugging_Face-yellow?style=for-the-badge" alt="Demo"></a>
+  <a href="https://github.com/supertone-inc/supertonic"><img src="https://img.shields.io/badge/Code-GitHub-black?style=for-the-badge&logo=github" alt="Code"></a>
+  <a href="https://pypi.org/project/supertonic/"><img src="https://img.shields.io/badge/Python-SDK-blue?style=for-the-badge&logo=python" alt="Python SDK"></a>
+</p>
+
+**Supertonic** is a lightweight text-to-speech system for local inference. It runs with ONNX Runtime entirely on your device, with no cloud call required for synthesis.
+
+**Supertonic 3** expands the open-weight release from 5 to **31 languages**, improves reading stability, and reduces repeat/skip failures.
+
+## Quick Start
+
+Install the Python SDK and generate speech immediately. On first run, the SDK downloads the model assets from Hugging Face.
+
+```bash
+pip install supertonic
+```
+
+```python
+from supertonic import TTS
+
+tts = TTS(auto_download=True)
+style = tts.get_voice_style(voice_name="M1")
+
+text = "A gentle breeze moved through the open window while everyone listened to the story."
+wav, duration = tts.synthesize(text, voice_style=style, lang="en")
+
+tts.save_audio(wav, "output.wav")
+print(f"Generated {duration:.2f}s of audio")
+```
+
+## What's New in Supertonic 3
+
+- **31 languages**: expanded from the 5-language Supertonic 2 release.
+- **More stable reading**: fewer repeat and skip failures, especially on short and long utterances.
+- **Higher speaker similarity**: improved similarity across the shared-language set compared with Supertonic 2.
+- **Expression tags**: supports simple tags such as `<laugh>`, `<breath>`, and `<sigh>`.
+
+## Performance Highlights
+
+Supertonic 3 is designed for practical on-device inference: compact enough to run locally, while staying competitive with much larger open TTS systems.
+
+### Reading Accuracy
+
+<p align="center">
+  <img src="img/metrics/s3_vs_measured_wer_range_voxcpm2.png" alt="Supertonic 3 reading accuracy compared with measured model ranges and VoxCPM2">
+</p>
+
+Across measured languages, Supertonic 3 stays within a competitive WER/CER range against much larger open TTS models such as VoxCPM2, while preserving a lightweight on-device deployment path. Asterisked languages use CER; the others use WER.
+
+### Supertonic 2 to Supertonic 3
+
+<p align="center">
+  <img src="img/metrics/supertonic2_vs_3_comparison.png" alt="Supertonic 2 and Supertonic 3 comparison">
+</p>
+
+Compared with Supertonic 2, Supertonic 3 reduces repeat and skip failures, improves speaker similarity across the shared-language set, and expands language coverage from 5 to 31 languages.
+
+### Runtime Footprint
+
+<p align="center">
+  <img src="img/metrics/runtime_cpu_gpu_latency_memory.png" alt="Supertonic CPU runtime compared with GPU baselines">
+</p>
+
+Supertonic 3 runs fast on CPU, even compared with larger baselines measured on A100 GPU, and uses substantially less memory. It does not require a GPU, which makes local, browser, and edge deployment much easier.
+
+### Model Size
+
+<p align="center">
+  <img src="img/metrics/model_size_comparison.png" alt="Model size comparison">
+</p>
+
+At about 99M parameters across the public ONNX assets, Supertonic 3 is much smaller than 0.7B to 2B class open TTS systems. The smaller model size is a practical advantage for download size, startup time, and on-device inference.
+
+## Supported Languages
+
+| Code | Language | Code | Language | Code | Language | Code | Language |
+|------|----------|------|----------|------|----------|------|----------|
+| `en` | English | `ko` | Korean | `ja` | Japanese | `ar` | Arabic |
+| `bg` | Bulgarian | `cs` | Czech | `da` | Danish | `de` | German |
+| `el` | Greek | `es` | Spanish | `et` | Estonian | `fi` | Finnish |
+| `fr` | French | `hi` | Hindi | `hr` | Croatian | `hu` | Hungarian |
+| `id` | Indonesian | `it` | Italian | `lt` | Lithuanian | `lv` | Latvian |
+| `nl` | Dutch | `pl` | Polish | `pt` | Portuguese | `ro` | Romanian |
+| `ru` | Russian | `sk` | Slovak | `sl` | Slovenian | `sv` | Swedish |
+| `tr` | Turkish | `uk` | Ukrainian | `vi` | Vietnamese | | |
+
+## License
+
+This project's sample code is released under the MIT License. See the [GitHub repository](https://github.com/supertone-inc/supertonic) for details.
+
+The accompanying model is released under the OpenRAIL-M License. See the [LICENSE](https://huggingface.co/Supertone/supertonic-3/blob/main/LICENSE) file in this repository for details.
+
+This model was trained using PyTorch, which is licensed under the BSD 3-Clause License but is not redistributed with this project. See the [PyTorch license](https://docs.pytorch.org/FBGEMM/general/License.html) for details.
+
+Copyright (c) 2026 Supertone Inc.

config.json

@@ -0,0 +1,5 @@
+{
+  "model_name": "Supertonic 3",
+  "model_type": "onnx",
+  "description": "This is a stub config for Hugging Face download counting. The actual model is located at onnx/"
+}

onnx/duration_predictor.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3eb91414d5ff8a7a239b7fe9e34e7e2bf8a8140d8375ffb14718b1c639325db
+size 3700147

onnx/text_encoder.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7befd5ea8c3119769e8a6c1486c4edc6a3bc8365c67621c881bbb774b9902ff
+size 36416150

onnx/tts.json

@@ -0,0 +1,311 @@
+{
+    "tts_version": "v1.7.3",
+    "split": "opensource-multilingual",
+    "ttl": {
+        "latent_dim": 24,
+        "chunk_compress_factor": 6,
+        "batch_expander": {
+            "n_batch_expand": 6
+        },
+        "normalizer": {
+            "scale": 0.25
+        },
+        "text_encoder": {
+            "n_langs": 0,
+            "lang_emb_dim": 0,
+            "text_embedder": {
+                "char_emb_dim": 256
+            },
+            "convnext": {
+                "idim": 256,
+                "ksz": 5,
+                "intermediate_dim": 1024,
+                "num_layers": 6,
+                "dilation_lst": [
+                    1,
+                    1,
+                    2,
+                    2,
+                    4,
+                    4
+                ]
+            },
+            "attn_encoder": {
+                "hidden_channels": 256,
+                "filter_channels": 1024,
+                "n_heads": 4,
+                "n_layers": 4,
+                "p_dropout": 0.0
+            },
+            "proj_out": {
+                "idim": 256,
+                "odim": 256
+            }
+        },
+        "flow_matching": {
+            "sig_min": 1e-08
+        },
+        "style_encoder": {
+            "proj_in": {
+                "ldim": 24,
+                "chunk_compress_factor": 6,
+                "odim": 256
+            },
+            "convnext": {
+                "idim": 256,
+                "ksz": 5,
+                "intermediate_dim": 1024,
+                "num_layers": 6,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "style_token_layer": {
+                "input_dim": 256,
+                "n_style": 50,
+                "style_key_dim": 256,
+                "style_value_dim": 256,
+                "prototype_dim": 256,
+                "n_units": 256,
+                "n_heads": 2
+            }
+        },
+        "speech_prompted_text_encoder": {
+            "text_dim": 256,
+            "style_dim": 256,
+            "n_units": 256,
+            "n_heads": 2
+        },
+        "uncond_masker": {
+            "prob_both_uncond": 0.04,
+            "prob_text_uncond": 0.01,
+            "std": 0.1,
+            "text_dim": 256,
+            "n_style": 50,
+            "style_key_dim": 256,
+            "style_value_dim": 256
+        },
+        "vector_field": {
+            "n_langs": 0,
+            "lang_emb_dim": 0,
+            "proj_in": {
+                "ldim": 24,
+                "chunk_compress_factor": 6,
+                "odim": 512
+            },
+            "time_encoder": {
+                "time_dim": 64,
+                "hdim": 256
+            },
+            "main_blocks": {
+                "n_blocks": 4,
+                "time_cond_layer": {
+                    "idim": 512,
+                    "time_dim": 64
+                },
+                "style_cond_layer": {
+                    "idim": 512,
+                    "style_dim": 256
+                },
+                "text_cond_layer": {
+                    "idim": 512,
+                    "text_dim": 256,
+                    "n_heads": 8,
+                    "n_units": 512,
+                    "use_residual": true,
+                    "rotary_base": 10000,
+                    "rotary_scale": 10
+                },
+                "convnext_0": {
+                    "idim": 512,
+                    "ksz": 5,
+                    "intermediate_dim": 2048,
+                    "num_layers": 4,
+                    "dilation_lst": [
+                        1,
+                        2,
+                        4,
+                        8
+                    ]
+                },
+                "convnext_1": {
+                    "idim": 512,
+                    "ksz": 5,
+                    "intermediate_dim": 2048,
+                    "num_layers": 1,
+                    "dilation_lst": [
+                        1
+                    ]
+                },
+                "convnext_2": {
+                    "idim": 512,
+                    "ksz": 5,
+                    "intermediate_dim": 2048,
+                    "num_layers": 1,
+                    "dilation_lst": [
+                        1
+                    ]
+                }
+            },
+            "last_convnext": {
+                "idim": 512,
+                "ksz": 5,
+                "intermediate_dim": 2048,
+                "num_layers": 4,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "proj_out": {
+                "idim": 512,
+                "chunk_compress_factor": 6,
+                "ldim": 24
+            }
+        }
+    },
+    "ae": {
+        "sample_rate": 44100,
+        "n_delay": 0,
+        "base_chunk_size": 512,
+        "chunk_compress_factor": 1,
+        "ldim": 24,
+        "encoder": {
+            "spec_processor": {
+                "n_fft": 2048,
+                "win_length": 2048,
+                "hop_length": 512,
+                "n_mels": 228,
+                "sample_rate": 44100,
+                "eps": 1e-05,
+                "norm_mean": 0.0,
+                "norm_std": 1.0
+            },
+            "ksz_init": 7,
+            "ksz": 7,
+            "num_layers": 10,
+            "dilation_lst": [
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1
+            ],
+            "intermediate_dim": 2048,
+            "idim": 1253,
+            "hdim": 512,
+            "odim": 24
+        },
+        "decoder": {
+            "ksz_init": 7,
+            "ksz": 7,
+            "num_layers": 10,
+            "dilation_lst": [
+                1,
+                2,
+                4,
+                1,
+                2,
+                4,
+                1,
+                1,
+                1,
+                1
+            ],
+            "intermediate_dim": 2048,
+            "idim": 24,
+            "hdim": 512,
+            "head": {
+                "idim": 512,
+                "hdim": 2048,
+                "odim": 512,
+                "ksz": 3
+            }
+        }
+    },
+    "dp": {
+        "latent_dim": 24,
+        "chunk_compress_factor": 6,
+        "normalizer": {
+            "scale": 1.0
+        },
+        "sentence_encoder": {
+            "char_emb_dim": 64,
+            "text_embedder": {
+                "char_emb_dim": 64
+            },
+            "convnext": {
+                "idim": 64,
+                "ksz": 5,
+                "intermediate_dim": 256,
+                "num_layers": 6,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "attn_encoder": {
+                "hidden_channels": 64,
+                "filter_channels": 256,
+                "n_heads": 2,
+                "n_layers": 2,
+                "p_dropout": 0.0
+            },
+            "proj_out": {
+                "idim": 64,
+                "odim": 64
+            }
+        },
+        "style_encoder": {
+            "proj_in": {
+                "ldim": 24,
+                "chunk_compress_factor": 6,
+                "odim": 64
+            },
+            "convnext": {
+                "idim": 64,
+                "ksz": 5,
+                "intermediate_dim": 256,
+                "num_layers": 4,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "style_token_layer": {
+                "input_dim": 64,
+                "n_style": 8,
+                "style_key_dim": 0,
+                "style_value_dim": 16,
+                "prototype_dim": 64,
+                "n_units": 64,
+                "n_heads": 2
+            }
+        },
+        "predictor": {
+            "sentence_dim": 64,
+            "n_style": 8,
+            "style_dim": 16,
+            "hdim": 128,
+            "n_layer": 2
+        }
+    }
+}

onnx/vector_estimator.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:883ac868ea0275ef0e991524dc64f16b3c0376efd7c320af6b53f5b780d7c61c
+size 256534781

onnx/vocoder.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:085de76dd8e8d5836d6ca66826601f615939218f90e519f70ee8a36ed2a4c4ba
+size 101424195