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ZDisket/echolancer-v0.1-zs
echolancer-v0.1-zs is a text-to-speech model from ZDisket. Use it when you need text read aloud. The card lists the license as mit.
This is a TTS model trained on approximately ~5-7k hours of private labeled data, finetuned from the base model; it's conditioned on SpeechBrain ECAPA embeddings. This model has 177M parameters and on single AMD Insti…
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Updated Nov 6, 2025
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From the Hugging Face model README
This is a TTS model trained on approximately ~5-7k hours of private labeled data, finetuned from the base model; it's conditioned on SpeechBrain ECAPA embeddings. This model has 177M parameters and on single AMD Instinct MI300X with the ROCm PyTorch Training v25.7 container, fine-tuning for 52k steps -- almost one epoch -- took a little under 4 hours. It's capable of zero-shot voice cloning with a reference clip
The training objective was standard next-token prediction on concatenated text-audio tokens.
For more information including a Colab notebook, see the repository.