Trelis/libritts-mimi-tokens
收藏Hugging Face2026-05-15 更新2026-05-31 收录
下载链接:
https://hf-mirror.com/datasets/Trelis/libritts-mimi-tokens
下载链接
链接失效反馈官方服务:
资源简介:
libritts-mimi-tokens 是一个基于 LibriTTS-R 数据集编码的音频数据集,使用 kyutai/mimi RVQ 编解码器(包含 8 个码本,每个码本有 2,048 个条目,帧率为 12.5 帧/秒)进行编码。数据集包含两个流:codes_semantic(仅码本 0,基于 WavLM 蒸馏,内容对齐,帧率为 12.5 帧/秒,词汇表大小为 2,048)和 codes_all_flat(所有 8 个码本交错排列,帧率为 100 帧/秒,使用偏移词汇表,总词汇表大小为 16,384)。数据来源于 parler-tts/libritts_r_filtered,并保留了原始 LibriTTS-R 的分割(包括训练集和开发集,总时长约 538 小时)。每个话语包含以下列:id(话语标识符)、speaker(说话者标识符)、duration(音频时长,秒)、text(标准化文本)、codes_semantic(语义编码列表)和 codes_all_flat(所有码本扁平化编码列表)。数据集遵循 CC-BY-4.0 许可证。
libritts-mimi-tokens is an audio dataset based on the LibriTTS-R dataset encoded with the kyutai/mimi RVQ codec (with 8 codebooks of 2,048 entries each, at 12.5 frames/sec). It includes two streams: codes_semantic (codebook 0 only, WavLM-distilled and content-aligned, at 12.5 fps with a vocabulary of 2,048) and codes_all_flat (all 8 codebooks interleaved per frame, at 100 fps with an offset vocabulary of 16,384). The data is sourced from parler-tts/libritts_r_filtered and mirrors the original LibriTTS-R splits (including training and development sets, totaling approximately 538 hours). Each utterance contains columns: id (utterance identifier), speaker (speaker identifier), duration (audio duration in seconds), text (normalized text), codes_semantic (list of semantic codes), and codes_all_flat (list of all codebooks flattened). The dataset is licensed under CC-BY-4.0.
提供机构:
Trelis


