EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
python text-to-speech ai deep-learning style prompt speech emotion pytorch tts speech-synthesis multi-speaker emotivoice
-
Updated
Aug 13, 2024 - Python
#
multi-speaker
Here are 16 public repositories matching this topic...
Sort: Most stars
Sort options
AirPlay and AirPlay 2 audio player
audio audio-player embedded-systems audio-streaming multi-room-audio airplay multi-speaker synchronized-audio airplay-2
-
Updated
Oct 13, 2025 - C
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
-
Updated
Dec 19, 2023 - Python
Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets
-
Updated
May 28, 2022 - Python
A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
text-to-speech deep-learning unsupervised pytorch tts speech-synthesis transformer supervised multi-speaker sota comprehensive single-speaker neural-tts non-autoregressive fastspeech fastspeech2 hifi-gan non-ar mel-gan ultimate-tts
-
Updated
Sep 24, 2022 - Python
VoxNovel: generate audiobooks giving each character a different voice actor.
windows linux mac torch tts epub audiobooks multi-speaker m4b torchaudio voice-cloning audiobook-creator booknlp generative-ai styletts2
-
Updated
Jun 8, 2025 - Python
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
multi-speaker audio-separation speech-separation speech-enhancement permutation-invariant-training robust-speech-recognition
-
Updated
Jan 6, 2022 - Jupyter Notebook
A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS
text-to-speech deep-learning unsupervised end-to-end pytorch tts speech-synthesis jets multi-speaker sota single-speaker neural-tts non-autoregressive fastspeech2 hifi-gan non-ar ultimate-tts text-to-wav
-
Updated
Jun 6, 2022 - Python
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
tensorflow adaptive-learning deeplearning multi-speaker source-separation audio-separation speech-separation deep-learning-architectures
-
Updated
Jul 7, 2018 - Jupyter Notebook
This is the official implementation of our multi-channel multi-speaker multi-spatial neural audio codec architecture.
overlap codec rir spatial-audio multi-speaker room-impulse-response binaural speech-separation speech-enhancement overlapping-speech neural-coding audio-codecs room-impulse-responses
-
Updated
Mar 17, 2025 - Python
PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.
text-to-speech deep-learning efficiency pytorch tts speech-synthesis autoregressive multi-speaker robustness comprehensive tacotron single-speaker neural-tts tacotron2 reduction-factor hifi-gan mel-gan diagonal-guided-attention
-
Updated
Jul 31, 2023 - Python
Multi-Speaker FastSpeech2 applicable to Korean. Description about train and synthesize in detail.
-
Updated
Jul 19, 2022 - Python
🎵 Complete offline audio transcription system with speaker diarization using OpenAI Whisper and PyAnnote. Features automatic audio cleaning, precise timestamps, multiple output formats (JSON/TXT/Markdown), and support for 20+ audio formats. No external APIs required - works entirely offline.
python nlp machine-learning ffmpeg audio-analysis speech-recognition speech-to-text whisper multi-speaker audio-processing speaker-diarization timestamps diarization huggingface audio-transcription audio-cleaning openai-whisper transcription-tool pyannote offline-transcription
-
Updated
Oct 2, 2025 - Python
An Algorithm for Speaker Recognition in a Multi-Speaker Environment
-
Updated
Aug 14, 2020 - Python
Urdu Speech Recognition using Kaldi ASR, by training Triphone Acoustic GMMs using the PRUS dataset.
-
Updated
Sep 24, 2021 - Shell
-
Updated
Nov 1, 2022 - MATLAB
Improve this page
Add a description, image, and links to the multi-speaker topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multi-speaker topic, visit your repo's landing page and select "manage topics."