Reza2kn commited on
Commit
a1e56c2
·
1 Parent(s): 17efd9b

Add verified browser ONNX export

Browse files
README.md CHANGED
@@ -28,6 +28,8 @@ This release selects the checkpoint at **global step 50,000** (`val_mel = 0.3951
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  - Generator parameters: approximately 23.7M
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  - Full trainable checkpoint: `checkpoint/gooya-rizehpizeh-v2-step50000-val_mel0.3951.ckpt`
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  - Checkpoint SHA-256: `0c2d22718894e20fb6361c7bf2d75ee54d61db3a167983ce5d843ff6ed438938`
 
 
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  - Sample rate: 22,050 Hz
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  - Speakers: 1
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  - Phoneme type: `text`
@@ -71,6 +73,18 @@ Audio timing came from AvaSanj v1 CTC forced alignment. Training phoneme labels
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  The 100K run was resumed from a successful 2K signal checkpoint. The sealed 669-parent eval split was not used for checkpoint selection.
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  ## Inference and long-form use
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  Input must already be case-sensitive Negara-compatible phonetic text. Example:
@@ -90,7 +104,7 @@ For long-form narration, do not send an article as one model input. Split at sem
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  - G2P/Finglish quality remains the dominant source of pronunciation errors.
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  - Very long single-pass phoneme sequences can collapse or omit content; use chunked synthesis.
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  - Overly small chunks sound breathy and robotic. Prefer substantial semantic spans instead of fixed tiny fragments.
93
- - This release has not yet been promoted over v1.5 on Gouya.app.
94
 
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  ## License
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  - Generator parameters: approximately 23.7M
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  - Full trainable checkpoint: `checkpoint/gooya-rizehpizeh-v2-step50000-val_mel0.3951.ckpt`
30
  - Checkpoint SHA-256: `0c2d22718894e20fb6361c7bf2d75ee54d61db3a167983ce5d843ff6ed438938`
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+ - Browser/Piper model: `gooya-rizehpizeh-v2.onnx`
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+ - Browser/Piper model SHA-256: `675c557524a325cc014e27acb7bb9f7eab584d3247216f934e8a378b709a2d3b`
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  - Sample rate: 22,050 Hz
34
  - Speakers: 1
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  - Phoneme type: `text`
 
73
 
74
  The 100K run was resumed from a successful 2K signal checkpoint. The sealed 669-parent eval split was not used for checkpoint selection.
75
 
76
+ ## ONNX and browser validation
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+
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+ The selected checkpoint was exported twice with Piper's ONNX exporter. Both exports were byte-identical. The published ONNX is self-contained and has no external tensor-data file.
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+
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+ - File size: `63,516,051` bytes
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+ - Inputs: `input` (`int64`, `[batch, phonemes]`), `input_lengths` (`int64`, `[batch]`), `scales` (`float32`, `[3]`)
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+ - Output: `output` (`float32`, dynamic audio length)
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+ - ONNX Runtime CPU probes: 19/19 finite, positive-length outputs
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+ - Gouya.app `onnxruntime-web@1.27.0` WASM smoke test: passed using the application's real `rizehPhoneTextToIds` mapping
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+
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+ Machine-readable receipts are in `browser/`.
87
+
88
  ## Inference and long-form use
89
 
90
  Input must already be case-sensitive Negara-compatible phonetic text. Example:
 
104
  - G2P/Finglish quality remains the dominant source of pronunciation errors.
105
  - Very long single-pass phoneme sequences can collapse or omit content; use chunked synthesis.
106
  - Overly small chunks sound breathy and robotic. Prefer substantial semantic spans instead of fixed tiny fragments.
107
+ - Browser export validation does not by itself constitute live Gouya.app promotion; the deployed consumer path must still be tested after rollout.
108
 
109
  ## License
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