| --- |
| language: |
| - hy |
| license: mit |
| base_model: Edmon02/TTS_NB_2 |
| tags: |
| - speecht5 |
| - onnx |
| - text-to-speech |
| - armenian |
| - hy-am |
| - tts |
| pipeline_tag: text-to-speech |
| library_name: transformers |
| inference: true |
| model_name: Armenian SpeechT5 ONNX |
| --- |
| |
| # Armenian SpeechT5 — ONNX export (`TTS_NB_ONNX`) |
|
|
| ONNX export of the SpeechT5 encoder/decoder for **faster or edge inference** (ONNXRuntime, mobile, C++). Pair with HiFi-GAN vocoder separately. |
|
|
| ## Files |
|
|
| | File | Role | |
| |------|------| |
| | `encoder_model.onnx` | Text → hidden states | |
| | `decoder_model.onnx` | Autoregressive mel decoder | |
| | `decoder_with_past_model.onnx` | Decoder with KV cache | |
| | `decoder_postnet_and_vocoder.onnx` | Postnet (vocoder may still be separate) | |
| | `spm_char.model` | SentencePiece tokenizer | |
| | `config.json` / `preprocessor_config.json` | Model config | |
|
|
| ## When to use |
|
|
| - ONNXRuntime deployment |
| - Environments without full PyTorch stack |
| - Latency-sensitive inference pipelines |
|
|
| For PyTorch + Hugging Face, prefer [Edmon02/speecht5_finetuned_voxpopuli_hy](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_hy) or [Edmon02/TTS_NB_2](https://huggingface.co/Edmon02/TTS_NB_2). |
|
|
| ## Source checkpoint |
|
|
| Exported from [Edmon02/TTS_NB_2](https://huggingface.co/Edmon02/TTS_NB_2) (verify export date in commit history). |
|
|
| ## Limitations |
|
|
| - ONNX export may not cover full HF `generate_speech` API — validate your runtime graph |
| - Speaker embeddings must be supplied consistently with training |
| - Re-export when `TTS_NB_2` architecture or opset changes |
|
|
| ## License |
|
|
| MIT |
|
|
