#Voice-synthesis

Showing 9 of 9 repositories tagged #voice-synthesis, ranked by stars

coqui-ai
coqui-ai
TTS

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Score
0
★ 45.7k ⑂ 6.1k +26/day
Python
denizsafak
denizsafak
abogen

Generate audiobooks from EPUBs, PDFs and text with synchronized captions.

Score
100
★ 5.1k ⑂ 376 +29/day
Python
dramaclaw
dramaclaw
dramaclaw

A general-purpose AIGC video engine: script to finished film in one pipeline — dramas, ads, product videos, otome games, and more. | 通用 AIGC 视频引擎 —— 从剧本到成片一条流水线,漫剧、广告、电商、乙游皆可

Score
67
★ 770 ⑂ 85 +447/day
TypeScript
DanRuta
DanRuta
xVA-Synth

Machine learning based speech synthesis Electron app, with voices from specific characters from video games

Score
100
★ 637 ⑂ 57
JavaScript
PowerBeef
PowerBeef
QwenVoice

Vocello — a local, private voice studio for Apple Silicon. Write a script, pick or describe a voice, and generate speech on-device. macOS today, iPhone coming soon. (Formerly QwenVoice.)

Score
0
★ 327 ⑂ 29 +4/day
Swift
momori777
momori777
Artemis

开源DZMM,死妈厂商赚黑心钱本人直接开源项目,那个项目就是sillytraven套皮,别给傻逼黑心厂商掏钱🩵uncensored Fully offline AI girlfriends harem Openclaw+Local LLM+GPT-SoVITS+ComfyUI image+Live2D+desktop pet+SilllyTavern Character card import| Dual channels for QQ & Telegram | Dynamic 8G VRAM scheduling+mem0 qdrant, can run offline

Score
33
★ 183 ⑂ 11 +14/day
Python
SaynaAI
SaynaAI
sayna

Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks

Score
0
★ 180 ⑂ 29 +1/day
Rust
sidmulajkar
sidmulajkar
sentiment-predictor-for-stress-detection

Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.

Score
0
★ 99 ⑂ 31
Jupyter Notebook
john-carroll-sw
john-carroll-sw
coffee-chat-voice-assistant

Coffee Chat Voice Assistant is a voice-driven ordering system powered by Azure OpenAI GPT-4o Realtime API, simulating the experience of ordering coffee with a café barista. It supports natural conversations, live order updates, and real-time transcription, showcasing the power of AI for seamless customer interactions.

Score
0
★ 32 ⑂ 7
Jupyter Notebook
Related Topics
#text-to-speech#tts#python#speech-synthesis#deep-learning#tacotron#voice-cloning#voice-conversion#content-creation#llm#react#voice

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