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 or Edmon02/TTS_NB_2.

Source checkpoint

Exported from 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