VPNet AI — local speech credits (2026-10-05) Russian: Igor (ru_igor), Silero v5_cis_base_nostress, MIT. Model: https://models.silero.ai/models/tts/ru/v5_cis_base_nostress.pt Source: https://github.com/snakers4/silero-models License: https://github.com/snakers4/silero-models/blob/master/LICENSE_CIS Russian stress: RUAccent v1 (MIT), https://github.com/Den4ikAI/ruaccent Denis/Piper remains installed for manual rollback. Kazakh: Iseke x_low, Piper voice based on KazakhTTS (CC BY 4.0). Model card: https://huggingface.co/rhasspy/piper-voices/blob/main/kk/kk_KZ/iseke/x_low/MODEL_CARD Mussakhojayeva, S., Janaliyeva, A., Mirzakhmetov, A., Khassanov, Y., Varol, H.A. (2021). KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset. Interspeech 2021, 2786–2790. https://doi.org/10.21437/Interspeech.2021-2124 Institute of Smart Systems and Artificial Intelligence (ISSAI), Nazarbayev University, Kazakhstan. Source: https://github.com/IS2AI/Kazakh_TTS License: https://creativecommons.org/licenses/by/4.0/ Use here: speech synthesized from text with the published ONNX model; no retraining. Generated WAV audio may be converted to MP3/Opus. No endorsement by ISSAI is implied. English: John medium, Piper voice by Bryce Beattie. Dataset: LibriVox (public domain). Model card: https://huggingface.co/rhasspy/piper-voices/blob/main/en/en_US/john/medium/MODEL_CARD Training notes: https://brycebeattie.com/files/tts/ Engine: Piper TTS 1.8.0 (GPL-3.0-or-later), running only on our server. https://github.com/OHF-Voice/piper1-gpl https://www.gnu.org/licenses/gpl-3.0.html Model cards describe dataset licenses; engine and model/data terms are distinct. MIT License Copyright (c) 2025-present Silero Team Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Copyright 2026 Denis Petrov Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Fixed Kazakh welcome recording: generated with VoxCPM1.5 (OpenBMB) and ErnarBahat/VoxCPM-KazakhTTS-Lora, published under Apache-2.0. https://huggingface.co/openbmb/VoxCPM1.5 https://huggingface.co/ErnarBahat/VoxCPM-KazakhTTS-Lora Synthetic reference: Silero ru_igor (MIT). Trimmed leading/trailing silence, joined phrases and encoded MP3/Opus. All other KK answers use Piper Iseke.