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  1. .gitattributes +2 -0
  2. README.md +72 -0
  3. v79/acoustic_convs_2d.bin +3 -0
  4. v79/albertm_2d.bin +3 -0
  5. v79/dec_backbonem_2d.bin +3 -0
  6. v79/decode3m_2d.bin +3 -0
  7. v79/dsp/libQnnHrtOpPkg.so +3 -0
  8. v79/duration_head_2d.bin +3 -0
  9. v79/f0nm_2d.bin +3 -0
  10. v79/gen_s1m_2d.bin +3 -0
  11. v79/gen_s2m_2d.bin +3 -0
  12. v79/host_weights/asr_res_bias.bin +3 -0
  13. v79/host_weights/asr_res_weight.bin +3 -0
  14. v79/host_weights/embeddings_LayerNorm_bias.bin +3 -0
  15. v79/host_weights/embeddings_LayerNorm_weight.bin +3 -0
  16. v79/host_weights/embeddings_hidden_mapping_bias.bin +3 -0
  17. v79/host_weights/embeddings_hidden_mapping_weight.bin +3 -0
  18. v79/host_weights/embeddings_position_embeddings.bin +3 -0
  19. v79/host_weights/embeddings_token_type_embeddings.bin +3 -0
  20. v79/host_weights/embeddings_word_embeddings.bin +3 -0
  21. v79/host_weights/f0_conv_bias.bin +3 -0
  22. v79/host_weights/f0_conv_weight.bin +3 -0
  23. v79/host_weights/istft_inverse_basis.bin +3 -0
  24. v79/host_weights/istft_window_sum.bin +3 -0
  25. v79/host_weights/lstm_encoder_B.bin +3 -0
  26. v79/host_weights/lstm_encoder_R.bin +3 -0
  27. v79/host_weights/lstm_encoder_W.bin +3 -0
  28. v79/host_weights/lstm_prosody_0_B.bin +3 -0
  29. v79/host_weights/lstm_prosody_0_R.bin +3 -0
  30. v79/host_weights/lstm_prosody_0_W.bin +3 -0
  31. v79/host_weights/lstm_prosody_2_B.bin +3 -0
  32. v79/host_weights/lstm_prosody_2_R.bin +3 -0
  33. v79/host_weights/lstm_prosody_2_W.bin +3 -0
  34. v79/host_weights/lstm_prosody_4_B.bin +3 -0
  35. v79/host_weights/lstm_prosody_4_R.bin +3 -0
  36. v79/host_weights/lstm_prosody_4_W.bin +3 -0
  37. v79/host_weights/lstm_shared_B.bin +3 -0
  38. v79/host_weights/lstm_shared_R.bin +3 -0
  39. v79/host_weights/lstm_shared_W.bin +3 -0
  40. v79/host_weights/lstm_textenc_B.bin +3 -0
  41. v79/host_weights/lstm_textenc_R.bin +3 -0
  42. v79/host_weights/lstm_textenc_W.bin +3 -0
  43. v79/host_weights/n_conv_bias.bin +3 -0
  44. v79/host_weights/n_conv_weight.bin +3 -0
  45. v79/host_weights/prosody_adaln_1_fc_bias.bin +3 -0
  46. v79/host_weights/prosody_adaln_1_fc_weight.bin +3 -0
  47. v79/host_weights/prosody_adaln_3_fc_bias.bin +3 -0
  48. v79/host_weights/prosody_adaln_3_fc_weight.bin +3 -0
  49. v79/host_weights/prosody_adaln_5_fc_bias.bin +3 -0
  50. v79/host_weights/prosody_adaln_5_fc_weight.bin +3 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ v79/dsp/libQnnHrtOpPkg.so filter=lfs diff=lfs merge=lfs -text
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+ v79/libQnnHrtOpPkg.so filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - qhexrt
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+ - kokoro
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+ - styletts2
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+ - tts
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+ - hexagon
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+ - npu
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+ - qnn
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+ language:
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+ - en
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+ pipeline_tag: text-to-speech
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+ ---
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+
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+ # Kokoro-82M — QHexRT NPU bundle (Hexagon v79)
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+
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+ Precompiled **Kokoro-82M** (StyleTTS2) text-to-speech for the **QHexRT** runtime on Qualcomm Hexagon
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+ **v79** (Snapdragon 8 Elite / SM8750, e.g. Galaxy S25). **All 8 model graphs run on the NPU**, including a
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+ custom HVX vocoder-tail op-package; the StyleTTS2 prosody BiLSTMs, sine source, and iSTFT are QHexRT's host
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+ glue. **On-device g2p** (English) is built in — type arbitrary text, get speech, no host step.
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+
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+ Device-validated end-to-end: arbitrary English text → **variable-length** 24 kHz mono audio. Drift-tolerant
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+ mel-spectrogram cosine **0.98** vs the PyTorch reference; the on-device g2p reproduces the official
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+ [misaki](https://github.com/hexgrad/misaki) phonemes on the vast majority of common English (bit-identical
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+ audio where it matches). Long text is auto-chunked into ≤141-phoneme windows and equal-power crossfaded.
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+
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+ Measured on S25/v79: 3.25 s of speech in ~8.5 s (RTF ≈2.6×); the audio-rate custom vocoder op dominates.
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+
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+ ## Contents (`v79/`)
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+ | file | what |
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+ |------|------|
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+ | `kokoro-en.json` | QHexRT manifest (TTS family, `kokoro_synthesize` plan, 8 graphs) |
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+ | `albertm_2d.bin` | ALBERT prosody transformer (key-pad-masked attention) |
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+ | `duration_head_2d.bin` | duration predictor head |
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+ | `acoustic_convs_2d.bin` | text-encoder acoustic convs |
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+ | `f0nm_2d.bin` | F0 / N predictors (masked InstanceNorm) |
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+ | `dec_backbonem_2d.bin` | decoder backbone (masked InstanceNorm) |
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+ | `decode3m_2d.bin` | decoder stage 3 (masked InstanceNorm) |
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+ | `gen_s1m_2d.bin` | generator stage 1 (masked InstanceNorm) |
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+ | `gen_s2m_2d.bin` | generator stage 2 — **custom HVX vocoder tail** (valid-length) |
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+ | `libQnnHrtOpPkg.so` | op-package stub (registered before context create) |
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+ | `dsp/libQnnHrtOpPkg.so` | op-package v79 HVX skel (cDSP; found via `ADSP_LIBRARY_PATH`) |
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+ | `host_weights/` | StyleTTS2 host-glue weights (embeddings, BiLSTMs, AdaLN, convs, STFT bases) |
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+ | `voices.bin` | `af` voicepack `[512,256]` (length-indexed style) |
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+ | `kokoro_lexicon.txt` | g2p pronunciation dictionary (178k words → IPA) |
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+ | `kokoro_vocab.txt` | phoneme → token-id table (177) |
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+
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+ ## Run (QHexRT CLI)
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+ ```bash
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+ huggingface-cli download runanywhere/kokoro_en_HNPU --local-dir kokoro_en_HNPU
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+ # QNN libs come from the QAIRT SDK (lib/aarch64-android) + the v79 HTP skel; push them next to qhx_say.
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+ adb push kokoro_en_HNPU/v79 /data/local/tmp/wq/kokoro # PowerShell + native paths on Windows
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+ # the custom op-package additionally needs libQnnHtpPrepare.so from the SDK staging (alongside libQnnHtp.so)
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+ adb shell "cd /data/local/tmp/wq && export ADSP_LIBRARY_PATH='/data/local/tmp/wq/kokoro/dsp;/data/local/tmp/wq/kokoro;/vendor/dsp/cdsp'; \
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+ LD_LIBRARY_PATH=. ./qhx_say kokoro/kokoro-en.json libQnnHtp.so libQnnSystem.so kokoro \
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+ 'Hexagon neural processing unit. Variable length text works end to end.' kokoro/out.wav"
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+ adb pull /data/local/tmp/wq/kokoro/out.wav # 24 kHz mono
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+ ```
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+
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+ ## Notes
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+ - Arch: **v79** only (context binaries are dsp-arch-pinned; the gen_s2 context-bin was composed on-device).
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+ - The gen_s2 op-package uses **HVX** (HMX is forbidden in external op-packages); it is the perf bottleneck.
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+ - Unlike the pure-AI-Hub bundles, the op-package stub links `libQnnHtpPrepare.so` — stage it alongside
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+ `libQnnHtp.so`/`libQnnSystem.so` (it is in the QAIRT SDK `lib/aarch64-android/`), or registration fails (0xfa0).
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+ - **On-device g2p** is dictionary-based (misaki gold+silver) + morphology + a `the/a` vowel rule + num2words;
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+ it is spacy-free, so homographs (e.g. "live") use the dictionary default and the audio can differ subtly
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+ from the host misaki path on those. For exact misaki parity, precompute `input_ids_i64.bin` instead of
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+ passing text.
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+ - The decoder style reference (`style[:128]`) is baked at a reference length; the length-varying prosody
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+ half (`style[128:]`) is selected per window from `voices.bin`.
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+ - Source: [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M); voice `af`.
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