Veltraxor_1_audio_bark
Overview This repository hosts the original Bark model checkpoint and related files, synchronized from the base repository developed by Suno AI. Bark is a high-fidelity text-to-audio generation model capable of synthesizing speech, music, and sound effects directly from textual prompts.
Note: Veltraxor 1 integrates Bark as the core module for audio generation. All fine-tuning scripts, inference workflows, and integration logic with Veltraxor's multi-modal system are private and not included in this public repository.
License This model is released under the MIT License by the original authors at Suno AI. Redistribution and usage are permitted under the terms of the MIT License.
Contents This repository maintains the full structure of the original Bark model distribution, including but not limited to:
model_quantized.onnx / model.safetensors
config.json
semantic_prompt files (.npy)
coarse_prompt / fine_prompt files
tokenizer_config and speaker embeddings All directories and files have been preserved without modification.
Usage To utilize Bark for audio generation, load this repository using compatible frameworks and follow the standard inference instructions. In Veltraxor 1, Bark serves as the primary audio output module, integrated with the dynamic reasoning engine and multi-modal interaction layer.
Disclaimer This repository only mirrors the official Bark model content. All accompanying code and architecture-specific modifications used in Veltraxor 1 are the proprietary work of Libo Wang and are not open-sourced.
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