M-AILABS speech-data notice The bundled German narrations were synthesized with the Piper de_DE-eva_k-x_low model. Its model card identifies M-AILABS as the training dataset. The dataset's published notice is retained below. Copyright (c) 2017-2019 by the original creators @ M-AILABS Redistribution and use in any form, including any commercial use, with or without modification are permitted provided that the following conditions are met: * Redistributions of source data must retain the above copyright notice, this list of conditions and the following disclaimer. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this downloaded data, source-code or binary-code without specific prior written permission. THIS DATA IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Sources checked 2026-08-12: * Piper voice model card: https://huggingface.co/rhasspy/piper-voices/blob/main/de/de_DE/eva_k/x_low/MODEL_CARD * Piper voice repository: https://huggingface.co/rhasspy/piper-voices/tree/main/de/de_DE/eva_k/x_low * Preserved M-AILABS dataset and license page: https://github.com/imdatceleste/m-ailabs-dataset * Female-speaker evidence for Eva K: https://www.isca-archive.org/interspeech_2019/chen19f_interspeech.pdf The application does not imply endorsement by M-AILABS, LibriVox, Project Gutenberg, Rhasspy, Piper, or the recorded speaker.