AirPlay 和 AirPlay 2 音频播放器
multi-speaker 开源项目推荐(38 个)
multi-speaker 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 38 个仓库EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
实时语音助理-WebREC流媒体、更快耳语的ASB、本地LLM、Vui Nano(300 M)TTC。OpenAI实时API兼容。语音克隆,强行插入,4090上~9倍实时。阿帕奇2.0。
中文普通话 中文 语音合成,由fastspeech 2 开发,使用 pytorch 实现,使用 waveglow 作为语音编码器,使用biaobei和aishell3数据集
VoxNovel: generate audiobooks giving each character a different voice actor.
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
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
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
Draft to Take 测试版:本地优先的AI音频制作工作室,支持IndexTTS2、Docker、Qwen、OmniVoice、SFX、氛围音和音乐副车支持。
This is the official implementation of our multi-channel multi-speaker multi-spatial neural audio codec architecture.
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
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.
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
🎵 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.
Multi-Speaker FastSpeech2 applicable to Korean. Description about train and synthesize in detail.
DAVE: audio-visual speech enhancement & target speaker extraction for real-world meetings — audio-only TIGER-M backbone (2.56M) + four-cue speaker attribution. ISCSLP 2026 AVSE Challenge: Track1 4th, Track2 3rd.
An Algorithm for Speaker Recognition in a Multi-Speaker Environment
Urdu Speech Recognition using Kaldi ASR, by training Triphone Acoustic GMMs using the PRUS dataset.
自架式 EPUB/TXT 多角色有聲書製作工具,提供角色分析、人工審核、聲線編排與 TTS 產製。
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/multi-speaker。
- 该话题在 GitHub 上共有 38 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2.2 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。