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Clarify no trained weights are attached

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  1. README.md +6 -15
README.md CHANGED
@@ -20,7 +20,7 @@ datasets:
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  Mesko TTS is MesklinTech's dedicated text-to-speech research project.
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- We are actively training Mesko TTS as a fast, streaming-oriented speech model. This repository currently shares the architecture, training code, and early experimental checkpoints while the full voice system continues to improve.
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  MesklinTech is open to collaboration with researchers, engineers, product teams, and supporters who are interested in efficient real-time speech AI. To connect with us or support the work, visit:
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@@ -34,7 +34,7 @@ Our goal is to build a world-class fast streaming TTS system for real-time assis
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  ## Current Status
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- Status: **research / training in progress**
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  What is available now:
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@@ -45,8 +45,7 @@ What is available now:
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  - sparse acoustic decoder
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  - sparse neural vocoder code
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  - LJSpeech training scripts and config structure
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- - experimental text-to-mel checkpoint
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- - experimental real-data vocoder checkpoint
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  What is not ready yet:
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@@ -79,19 +78,11 @@ The intended model path is:
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  7. Acoustic energy/gating head -> mel spectrogram
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  8. Trained neural vocoder -> waveform
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- ## Experimental Checkpoints
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- The current experimental files are:
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- - `experimental/text_to_mel_step_8000.safetensors`
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- - `experimental/vocoder_realdata_step_3000.safetensors`
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- - `experimental/vocoder_config.json`
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- - `experimental/vocoder_metrics_step_3000.json`
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- - `samples/hello_world_i_am_fine_vocoder_step3000.wav`
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-
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- The vocoder checkpoint was trained on real LJSpeech mel/waveform segments for a short in-session run. It is better aligned than the previous random-data smoke path, but it is still an early experimental checkpoint and should not be treated as final voice quality.
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-
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- Until a longer vocoder and text-to-mel training run is complete, this repository should be treated as source code, architecture documentation, and experimental research weights, not as a finished voice model.
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  ## Responsible Use
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  Mesko TTS is MesklinTech's dedicated text-to-speech research project.
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+ We are actively training Mesko TTS as a fast, streaming-oriented speech model. This repository currently shares the architecture and training code while the full voice system continues to improve.
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  MesklinTech is open to collaboration with researchers, engineers, product teams, and supporters who are interested in efficient real-time speech AI. To connect with us or support the work, visit:
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  ## Current Status
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+ Status: **untrained architecture release / training in progress**
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  What is available now:
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  - sparse acoustic decoder
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  - sparse neural vocoder code
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  - LJSpeech training scripts and config structure
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+ - no trained model weights are attached to this repository yet
 
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  What is not ready yet:
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  7. Acoustic energy/gating head -> mel spectrogram
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  8. Trained neural vocoder -> waveform
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+ ## Weights
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+ No trained weights are attached to this repository yet.
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+ Until a full text-to-mel and vocoder training run is complete, this repository should be treated as source code and architecture documentation, not as a finished voice model.
 
 
 
 
 
 
 
 
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  ## Responsible Use
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