With one command, create a natural-sounding audiobook from a variety of input formats (epub, mobi, txt, PDF, HTML and more!)
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Updated
Nov 7, 2025 - Go
With one command, create a natural-sounding audiobook from a variety of input formats (epub, mobi, txt, PDF, HTML and more!)
Mega is a Git-compatible, petabyte-scale monorepo engine for large-scale codebases, enabling atomic changes, consistent builds, and AI-native engineering workflows
Custom scripts for the PIPER Burp extensions.
Go Lang API Wrapper around Piper TTS - Supports TTS Inference and List of Voices
A voice-activated AI assistant modeled after HAL 9000, built with Raspberry Pi and self-hosted services for speech-to-text, language generation, and text-to-speech.
This repository shows different configurations of steps and pipelines specific to the ABAP Environment Pipeline as part of project “Piper.”
A real-time, fully local voice AI system optimized for low-resource devices like an 8GB Ubuntu laptop with no GPU, achieving sub-second STT-to-TTS latency using Ollama, Vosk, Piper, and JACK/PipeWire. Open-source and privacy-focused for offline conversational AI.
Open Voice OS Server Status Page
From Peeters 2014 in Groundwater; ArcGIS Python Toolbox; Piper Diagram; Water Chemistry
Text-to-Speech Generator Powered by Python, Flask, and Piper TTS
A vibe-coded text-to-speech for Emacs using the Piper TTS engine. Features natural-sounding voice synthesis, multiple voice commands, and automatic setup. Designed for macOS/Apple Silicon.
A real-time, offline voice assistant for Linux and Raspberry Pi. Uses local LLMs (via Ollama), speech-to-text (Vosk), and text-to-speech (Piper) for fast, wake-free voice interaction. No cloud. No APIs. Just Python, a mic, and your voice.
Realtime on-device TTS using Unity Inference Engine with mini-bart-g2p and Piper
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