Add Paradee v1.1 and full-context v1.0 with native sentence planning

.gitattributes

@@ -41,3 +41,12 @@ vocoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
 frontend/us_gold.json.zlib filter=lfs diff=lfs merge=lfs -text
 frontend/us_silver.json.zlib filter=lfs diff=lfs merge=lfs -text
 frontend/weights.f32 filter=lfs diff=lfs merge=lfs -text
+head.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+signal.f32 filter=lfs diff=lfs merge=lfs -text
+v1.0/acoustic.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+v1.0/frontend/us_gold.json.zlib filter=lfs diff=lfs merge=lfs -text
+v1.0/frontend/us_silver.json.zlib filter=lfs diff=lfs merge=lfs -text
+v1.0/frontend/weights.f32 filter=lfs diff=lfs merge=lfs -text
+v1.0/prosody.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+v1.0/text.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+v1.0/vocoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,6 +1,8 @@
 ---
 license: apache-2.0
-base_model: sahilmahendrakar/Paradee-8M-v1.0
+base_model:
+- sahilmahendrakar/Paradee-8M-v1.1
+- sahilmahendrakar/Paradee-8M-v1.0
 base_model_relation: quantized
 pipeline_tag: text-to-speech
 language: [en]
@@ -9,56 +11,127 @@ tags: [glade, coreai, apple-silicon, neural-engine, paradee, kokoro, text-to-spe
 
 # Paradee-8M for Glade
 
-Model assets and runtime configuration for [Paradee-8M v1.0](https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.0)
+Model assets and runtime configuration for
+[Paradee-8M v1.1](https://huggingface.co/sahilmahendrakar/Paradee-8M-v1.1)
 in Glade. This single-voice American English distillation of Kokoro accepts ordinary
 text or explicit phonemes and produces mono 24 kHz PCM with its trained Heart voice.
 
-## Text and execution
+The default v1.1 checkpoint contains **7,884,450 learned parameters**: **4,231,828** in the text
+side and **3,652,622** in the decoder, including the **990,018**-parameter waveform
+head. Counts come from the original modules before materializing weight
+normalization. Fixed signal-processing tables and the bundled text frontend are
+counted separately.
 
-The approximately **22.9 MB** download includes the American English Misaki
-frontend: trained spaCy tokenization/POS, contextual lexical processing, number
-handling and the original BART pronunciation fallback. No separate frontend
-download or Python runtime is needed.
+## Packages
 
-INT8 text, prosody and acoustic weights use FP16 activations on ANE. The GPU
-waveform generator retains FP16 weights. CPU parameters use FP16 storage and FP32
-recurrence/signal processing. The original 33-frame phase-locking filter remains
-enabled; utterance normalization excludes padding.
+Both releases preserve the upstream sentence-first policy and the full 510
+phonemes plus two boundary tokens. Each sentence is phonemized in context;
+oversized sentences split at the last fitting phoneme-space. The app catalog
+does not offer a short-chunk profile.
 
-`metadata.json` specifies the 96-token/192-acoustic-frame capacities, masking,
-compute preferences and phase filter. Four `.aimodel` assets and `cpu.f16`/`cpu.json`
-supply the neural/audio stages. Text is phonemized in context and partitioned at
-the model's capacity; duration overflow is retried with smaller parts before PCM
-delivery. The complete input is retained. No compiled cache is supplied.
+| Location | Release | Waveform architecture | Download |
+| --- | --- | --- | ---: |
+| Root | 1.1 | Source-filter head | 22.2 MB |
+| `v1.0/` | 1.0 | Upsampling generator, ISTFT and phase correction | 23.0 MB |
 
-## Measured performance
+V1.0 contains 8,080,406 learned parameters. Its text/prosody/acoustic stages use
+INT8 weights and FP16 activations; the GPU vocoder uses FP16 weights with FP32
+normalization. It requests ANE for text and GPU for the other three stages.
+Its original native phase filter and waveform reconstruction are retained.
+Both packages include the 11.0 MB American English frontend, FP16 CPU parameter
+storage with FP32 recurrence, and 2,048 acoustic frames. Select one complete
+package from a single repository snapshot.
 
-Complete 2,201-word reference text of JFK's **“We choose to go to the Moon”** speech,
-Heart voice, speed 1, seed 42, one synthesis lane, resident execution. Warmed
-Release **text-to-audio** medians of three passes include phonemization, planning,
-neural calls, recurrence and signal processing. Initial preparation, warmup and
-WAV writing are separate.
+## V1.1 text and execution
 
-| Device | Generated audio | Text-to-audio | RTFx |
-| --- | ---: | ---: | ---: |
-| M3 MacBook Air, 16 GB, macOS 27.0.1 | 13 min 30 s | 14.87 s | **54.4×** |
-| iPhone 15 Pro Max, A17 Pro, 8 GB, iOS 27.0.1 | 13 min 30 s | 9.59 s | **84.4×** |
+The default 512/2,048 package is **22.2 MB**, including the **11.0 MB** American
+English Misaki frontend: trained spaCy
+tokenization/POS, contextual lexical processing, number handling and the original
+BART pronunciation fallback. Text input works directly through Glade without a
+separate frontend download or Python runtime.
 
-RTFx uses generated audio duration. The phone remained at nominal thermal state;
-sampled client peak was **266 MiB**, including benchmark PCM and excluding
-compiler/service memory. All three phone outputs were byte-identical. A separate
-trace confirms ANE text/prosody/acoustic execution and GPU waveform generation.
+Four Core AI assets implement the text network, pitch/noise prediction, acoustic
+trunk and frame-rate waveform head. Their INT8 weights use FP16 activations, with
+ANE text/head and GPU prosody/acoustic in the default 512-token/2,048-frame profile.
+CPU parameters use FP16 storage and FP32 recurrence. This hybrid configuration
+avoids failed ANE specialization attempts for the larger prosody/acoustic assets
+observed on the M3 Mac.
+
+V1.1's waveform head predicts harmonic gains, phase adjustments, noise gains and
+pulse shifts at 80 frames per second. Native Swift reconstructs the original
+64-harmonic source, pitch-modulated white noise and short-window burst noise.
+Its centered, reflect-padded STFT grids use 600-point/150-sample and
+150-point/75-sample transforms. Fundamental phase accumulates in FP64 before
+FP32 interpolation. Exact frequency-warp matrices and Hann windows contain
+26,654 FP32 values, stored in `signal.f32` with the layout in `signal.json`.
+
+Schema 2 `metadata.json` specifies 512 token slots, including boundaries, and
+2,048 acoustic frames, along with the masking and signal conventions. Four
+`.aimodel` assets and `cpu.f16`/`cpu.json` supply the learned stages. Padding is
+excluded from utterance normalization and masked between convolutions; waveform
+reconstruction consumes only valid head rows. Text follows the sentence-first policy above. A duration overflow retries smaller parts
+before PCM delivery, preserving the complete input. Device specialization occurs
+on first use; compiled device caches are not included.
+
+## Qualification
+
+Both full-context packages use upstream sentence-first planning: full sentences
+up to 510 phonemes plus two boundary tokens, with oversized sentences divided at
+the last fitting phoneme-space. The following Release results are from an M3
+MacBook Air with 16 GB, macOS 27.0.1 and Swift 6.4. They are medians of three
+warm ordinary-text passes, including Misaki, planning and full waveform synthesis.
+Initial preparation, warmup and WAV writing are separate. The voice is Heart,
+speed 1 and seed 42, with one synthesis lane and complete delivery.
+
+| Release | Input | Generated audio | Median synthesis | RTFx |
+| --- | --- | ---: | ---: | ---: |
+| v1.0 | Sunlight, three short sentences | 6.900 s | 494.57 ms | 13.95× |
+| v1.1 | Sunlight, three short sentences | 6.900 s | 121.29 ms | 56.89× |
+| v1.0 | Complete JFK reference transcript | 748.750 s | 13.794 s | 54.28× |
+| v1.1 | Complete JFK reference transcript | 748.750 s | 8.276 s | 90.47× |
+
+RTFx uses actual generated audio duration. Both releases generate 12 min 28.75 s
+for the complete JFK text. These matched planning and capacity measurements do
+not establish a perceptual quality ranking.
+
+Bounded M3 Instruments captures of both exact packages measured five calls per
+neural stage:
+
+| Release | Stage | Calls | ANE predictions | GPU intervals |
+| --- | --- | ---: | ---: | ---: |
+| v1.0 | Text | 5 | 5 | 0 |
+| v1.0 | Prosody | 5 | 0 | 23 |
+| v1.0 | Acoustic | 5 | 0 | 29 |
+| v1.0 | Vocoder | 5 | 0 | 66 |
+| v1.1 | Text | 5 | 5 | 0 |
+| v1.1 | Prosody | 5 | 0 | 23 |
+| v1.1 | Acoustic | 5 | 0 | 25 |
+| v1.1 | Head | 5 | 5 | 0 |
+
+These intervals verify execution placement, not arithmetic utilization.
+
+New complete JFK waveforms from these exact packages were transcribed by Cohere
+Transcribe revision `76b8b23e8607f35f0265a23d481b338fb0e26aea`, with Whisper
+English normalization:
+
+| Release | Word errors / normalized reference words | WER |
+| --- | ---: | ---: |
+| v1.0 | 16 / 2,220 | 0.72% |
+| v1.1 | 15 / 2,220 | 0.68% |
+
+These checks confirm coherent full-text coverage and include recognition errors;
+they are not perceptual or voice-similarity scores. Full-pipeline peak memory has
+not been measured. The older short-context and capacity-first measurements use
+different planning or profiles and are not measurements of these packages.
+Current iPhone and Watch qualification is pending.
 
-Observed cached preparation was **0.30 s** on Mac and **0.31 s** on phone. Compiler
-caches were not purged; these are **not cold specialization measurements**. First
-use requires device specialization. Original frontend/numerical controls and
-sample recognition checks qualify functionality, not general perceptual scores.
-Watch qualification is not claimed.
 
 ## Attribution
 
-Weights: `f662642d44c03c17588e4176469c54d462c0b623`.
-Original implementation: `9c8b4d7504cbee7e64de2d0341bb690f0b0ab708`.
+V1.1 weights: `330617ad1f097b4f6b02c103e54b39006c090b45`.
+V1.1 implementation: `606e16e12f53bc6dfb814fe89fef338726687161`.
+V1.0 weights: `f662642d44c03c17588e4176469c54d462c0b623`.
+V1.0 implementation: `9c8b4d7504cbee7e64de2d0341bb690f0b0ab708`.
 The original model/code and Misaki use Apache-2.0; trained frontend components
 retain their bundled notices. No additional training is performed. Download
 weights and configuration from one repository snapshot.

acoustic.aimodel/main.mlirb

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acoustic.aimodel/metadata.json

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cpu.json

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head.aimodel/main.hash

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metadata.json

@@ -1,26 +1,45 @@
 {
-  "schema_version": 1,
+  "schema_version": 2,
   "model_family": "paradee",
-  "repository": "sahilmahendrakar/Paradee-8M-v1.0",
-  "revision": "f662642d44c03c17588e4176469c54d462c0b623",
-  "source_revision": "9c8b4d7504cbee7e64de2d0341bb690f0b0ab708",
+  "model_version": "1.1",
+  "repository": "sahilmahendrakar/Paradee-8M-v1.1",
+  "revision": "330617ad1f097b4f6b02c103e54b39006c090b45",
+  "source_revision": "606e16e12f53bc6dfb814fe89fef338726687161",
   "sample_rate": 24000,
-  "token_capacity": 96,
-  "frame_capacity": 192,
+  "token_capacity": 512,
+  "frame_capacity": 2048,
   "precision": "w8a16",
   "cpu_storage": "float16",
-  "vocoder_precision": "fp16",
   "text_width": 192,
   "text_style_width": 32,
   "decoder_style_width": 16,
   "acoustic_channels": 128,
-  "phase_lock": {
-    "fft_size": 1024,
-    "hop_size": 256,
-    "smoothing_frames": 33,
-    "lower_bin": 86,
-    "upper_bin_exclusive": 342,
-    "voiced_threshold": 60
+  "head": {
+    "architecture": "source_filter_v2",
+    "channels": 160,
+    "blocks": 4,
+    "kernel_size": 7,
+    "expansion": 3,
+    "parameter_channels": 1282,
+    "burst_channels": 96,
+    "parameter_groups": 80,
+    "burst_groups": 24,
+    "components": 8,
+    "harmonics": 64,
+    "noise_modulations": 2,
+    "source_hop": 300,
+    "fft_size": 600,
+    "hop_size": 150,
+    "burst_fft_size": 150,
+    "burst_hop_size": 75,
+    "harmonic_cutoff_hz": 11000,
+    "voiced_threshold": 10,
+    "gain_log_max": 6,
+    "phase_norm_floor": 0.0001,
+    "pitch_floor": 60,
+    "pulse_shift_scale": 0.5,
+    "resource_layout": "signal.json",
+    "resource_data": "signal.f32"
   },
   "vocabulary": {
     ";": 1,
@@ -142,14 +161,24 @@
     "text",
     "prosody",
     "acoustic",
-    "vocoder"
+    "head"
   ],
+  "learned_parameters": 7884450,
+  "parameter_components": {
+    "text_style": 32,
+    "text_backbone": 895424,
+    "duration": 1036850,
+    "prosody": 1125890,
+    "text_acoustic_encoding": 1173632,
+    "acoustic_trunk": 2662604,
+    "waveform_head": 990018
+  },
   "normalization": "masked_full_utterance",
   "compute_units": {
     "text": "neural_engine",
-    "prosody": "neural_engine",
-    "acoustic": "neural_engine",
-    "vocoder": "gpu"
+    "prosody": "gpu",
+    "acoustic": "gpu",
+    "head": "neural_engine"
   },
   "frontend": {
     "format": "misaki-v1",

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v1.0/LICENSE

@@ -0,0 +1,202 @@
+
+                                 Apache License
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+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works 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.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
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+       http://www.apache.org/licenses/LICENSE-2.0
+
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+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

v1.0/frontend/MISAKI-LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
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+   2. Grant of Copyright License. Subject to the terms and conditions of
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+      where such license applies only to those patent claims licensable
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+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
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+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
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+      (d) If the Work includes a "NOTICE" text file as part of its
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+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
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+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
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+          that such additional attribution notices cannot be construed
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+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
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+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
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+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
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+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. 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,
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+      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.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works 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.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

v1.0/frontend/NOTICE

@@ -0,0 +1,5 @@
+Misaki English G2P and pronunciation dictionaries: hexgrad, Apache-2.0.
+Original BART fallback: PeterReid/graphemes_to_phonemes_en_us, Apache-2.0.
+Original en_core_web_sm 3.8.0 tok2vec/tagger: Explosion, MIT.
+See the included component licenses and spaCy source attributions.
+The Swift frontend is independently implemented in Glade.

v1.0/frontend/SPACY-LICENSE

@@ -0,0 +1,19 @@
+Copyright 2021 ExplosionAI GmbH
+
+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.

v1.0/frontend/SPACY-SOURCES

@@ -0,0 +1,66 @@
+# OntoNotes 5
+
+* Author: Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston
+* URL: https://catalog.ldc.upenn.edu/LDC2013T19
+* License: commercial (licensed by Explosion)
+
+```
+```
+
+
+
+
+# ClearNLP Constituent-to-Dependency Conversion
+
+* Author: Emory University
+* URL: https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md
+* License: Citation provided for reference, no code packaged with model
+
+```
+```
+
+
+
+
+# WordNet 3.0
+
+* Author: Princeton University
+* URL: https://wordnet.princeton.edu/
+* License: WordNet 3.0 License
+
+```
+WordNet Release 3.0
+
+This software and database is being provided to you, the LICENSEE, by  
+Princeton University under the following license.  By obtaining, using  
+and/or copying this software and database, you agree that you have  
+read, understood, and will comply with these terms and conditions.:  
+  
+Permission to use, copy, modify and distribute this software and  
+database and its documentation for any purpose and without fee or  
+royalty is hereby granted, provided that you agree to comply with  
+the following copyright notice and statements, including the disclaimer,  
+and that the same appear on ALL copies of the software, database and  
+documentation, including modifications that you make for internal  
+use or for distribution.  
+  
+WordNet 3.0 Copyright 2006 by Princeton University.  All rights reserved.  
+  
+THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON  
+UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR  
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON  
+UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-  
+ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE  
+OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT  
+INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR  
+OTHER RIGHTS.  
+  
+The name of Princeton University or Princeton may not be used in  
+advertising or publicity pertaining to distribution of the software  
+and/or database.  Title to copyright in this software, database and  
+any associated documentation shall at all times remain with  
+Princeton University and LICENSEE agrees to preserve same.```
+
+
+
+

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+{
+  "schema_version": 2,
+  "model_family": "paradee",
+  "model_version": "1.0",
+  "repository": "sahilmahendrakar/Paradee-8M-v1.0",
+  "revision": "f662642d44c03c17588e4176469c54d462c0b623",
+  "source_revision": "9c8b4d7504cbee7e64de2d0341bb690f0b0ab708",
+  "sample_rate": 24000,
+  "token_capacity": 512,
+  "frame_capacity": 2048,
+  "precision": "w8a16",
+  "cpu_storage": "float16",
+  "text_width": 192,
+  "text_style_width": 32,
+  "decoder_style_width": 16,
+  "acoustic_channels": 128,
+  "head": {
+    "architecture": "istft_phase_corrected",
+    "source_hop": 300,
+    "fft_size": 20,
+    "hop_size": 5,
+    "phase_lock": {
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+      "hop_size": 256,
+      "smoothing_frames": 33,
+      "lower_bin": 86,
+      "upper_bin_exclusive": 342,
+      "voiced_threshold": 60
+    }
+  },
+  "vocabulary": {
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