此语言处于测试阶段:翻译由机器辅助完成,可能有错误。
署名
2hives的人声基于开放语音模型和制作者公开分享的录音构建而成。感谢下方每一位。
署名信息按许可证要求的措辞,以英文列出。
人声与语音模型
The fr_claire voice was trained on the SIWIS French Speech Synthesis Database by Pierre-Edouard Honnet, Alexandros Lazaridis, Philip N. Garner and Junichi Yamagishi (Idiap Research Institute), licensed under CC BY 4.0; modified.
Built on Qwen3-TTS by the Qwen team, Alibaba Cloud, licensed under the Apache License 2.0; modified (fine-tuned) by 2hives.
Kokoro-82M by hexgrad, licensed under the Apache License 2.0. Kokoro-82M includes SIWIS French (CC BY 4.0, Honnet et al. 2017) and Koniwa (CC BY 3.0) data.
Voice 'Sohee' from Qwen3-TTS (CustomVoice) by the Qwen team, Alibaba Cloud, licensed under the Apache License 2.0; used unmodified.
Chatterbox by Resemble AI, Copyright (c) 2025 Resemble AI, licensed under the MIT License. Its output carries Resemble's inaudible Perth watermark.
AudioSeal (Meta AI), licensed under the MIT License, marks synthetic audio. SpeechBrain (spkrec-ecapa-voxceleb), licensed under the Apache License 2.0, checks speaker consent. Whisper (OpenAI) and faster-whisper (SYSTRAN), licensed under the MIT License, check recordings.
用于训练的语音录音
Contains Multilingual LibriSpeech (Pratap et al., Interspeech 2020), CC BY 4.0, derived from LibriVox public-domain recordings.
Contains audio from the European Parliament (© European Union), via VoxPopuli (Meta AI, CC0).
Voice data: CSS10 (Park & Mulc, Interspeech 2019), from LibriVox public-domain recordings. With thanks to the LibriVox volunteers.
Voice data: Open Home Foundation / Nabu Casa voice-datasets (CC0).
环境音
播放器混音面板中的部分环境音是以知识共享署名许可共享的录音:
"250730_055349_PH_Ocean_waves_at_White_Beach" by kevp888 (https://freesound.org/people/kevp888/sounds/829444/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed, looped, levelled.
"strong wind river-side 121226_03.flac" by klankbeeld (https://freesound.org/people/klankbeeld/sounds/172522/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed, looped, levelled.
"small running water forest stream_1.wav" by Kranhytt (https://freesound.org/people/Kranhytt/sounds/671883/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed, looped, levelled.
"020A_100111_0243_EXP02_Bells_drone" by kevp888 (https://freesound.org/people/kevp888/sounds/844152/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed, looped, levelled.
"waves seadike NL 3.46pm 230519_0608" by klankbeeld (https://freesound.org/people/klankbeeld/sounds/688082/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed to 40 min, levelled, re-encoded.
"1 Hour of Relaxing fireplace with Crackling Sounds" by Hear_it_use_it (https://freesound.org/people/Hear_it_use_it/sounds/873471/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed to 40 min, levelled, re-encoded.
"FirePlace_SetExtendedMeditationTrack.mp3" by Glen_Hoban (https://freesound.org/people/Glen_Hoban/sounds/459935/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed to 40 min, levelled, re-encoded.
"Audio-Based identification of Beehive states: The dataset" by Ines Nolasco, Alessandro Terenzi, Stefania Cecchi, Simone Orcioni, Helen L. Bear and Emmanouil Benetos (https://doi.org/10.5281/zenodo.2667806), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), modified: trimmed to 40 min, five files joined with crossfades, levelled, re-encoded. Dataset authors request citing: Nolasco et al., "Audio-based identification of beehive states", ICASSP 2019, pp. 8256-8260.
每个人声来自哪里
| fr_claire | SIWIS French Speech Synthesis Database (CC BY 4.0) |
|---|---|
| fr_julien | CSS10 French, LibriVox public domain (CC0) |
| hu_anna, hu_berta, hu_imre | OHF voice-datasets (CC0) |
| hu_csilla | CSS10 Hungarian, LibriVox public domain (CC0) |
| all fine-tuned voices | Qwen3-TTS base model (Apache-2.0); training data also from Multilingual LibriSpeech (CC BY 4.0) and VoxPopuli (CC0, European Parliament) |
我们只使用许可允许的录音,绝不使用来自视频网站、播客、电影或广播的录音。 info@2hives.com