nineninesix/elise-en-nano-codec-dataset

Elise EN Nano-Codec 数据集是基于Elise数据集使用NeMo Audio Codec重新编码构建的，包含文本转录、说话者标识和四层音频表示（由NeMo Nano Codec进行量化）的数据集。设计用于细调多模态大型语言模型和语音系统（TTS/ASR），这些系统依赖于基于编解码器的音频表示。该数据集适用于基于编解码器的TTS模型的微调、操作离散音频单元的ASR系统的训练，以及文本和音频标记结合的多模态LLM适应。

The Elise EN Nano-Codec Dataset is built upon the Elise dataset and re-encoded using NVIDIAs NeMo Audio Codec into nano audio tokens. It contains transcription text, speaker identifier, and four layers of audio representation (quantized by NeMo Nano Codec). Designed for fine-tuning multimodal LLMs and speech systems (TTS/ASR) that rely on codec-based audio token representations. The dataset is suitable for fine-tuning codec-based TTS models, training ASR systems that operate on discrete audio units, and multimodal LLM adaptation where text and audio tokens are combined.