awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
espeak-ng avatar

espeak-ng/espeak-ng

0
View on GitHub↗
6,604 stars·1,243 forks·C·GPL-3.0·22 views

Espeak Ng

espeak-ng is a multilingual text-to-speech engine and C-based library that converts written text into spoken audio across various languages, accents, and regional dialects. It functions as both a programmatic interface for embedding synthesis capabilities into external applications and a phonetic text converter that translates written text into phoneme codes.

The system utilizes multiple synthesis methods, including formant synthesis to generate vocal sounds mathematically and diphone synthesis to produce audio by concatenating pre-recorded phonetic segments. It incorporates a speech processor capable of parsing SSML and HTML tags to control audio pitch and timing.

The engine provides tools for custom voice design and language pronunciation customization through phoneme translation maps and definition files. It supports audio file export to WAV format, playback speed adjustment, and the generation of phonetic data for linguistic analysis.

A command line interface is available for triggering speech generation and managing audio output settings.

Features

  • Multilingual Text-to-Speech Engines - Acts as a comprehensive engine for converting written text into spoken audio across various languages and dialects.
  • Speech Synthesis Libraries - Provides a C-based library for embedding multilingual text-to-speech and phonetic conversion capabilities directly into external applications.
  • Diphone Synthesizers - Implements a speech generator that produces audio by concatenating pre-recorded diphone segments.
  • Formant Synthesizers - Uses mathematical models of the vocal tract to generate human-like sounds via formant synthesis.
  • Formant Synthesis - Uses mathematical models of the human vocal tract to generate artificial speech sounds via formant synthesis.
  • Grapheme To Phoneme Conversion - Translates written text into phonetic codes using predefined letter-to-sound conversion tables and language-specific rules.
  • Diphone Synthesis - Implements speech synthesis by concatenating pre-recorded audio segments that capture transitions between phonetic sounds.
  • Text-to-Speech Integrations - Provides a library interface for embedding speech synthesis capabilities into software to automate audio generation.
  • C Library Interfaces - Provides a C-based library for embedding speech synthesis and custom voice profiles into external applications.
  • Native C Synthesis Interfaces - Exposes low-level C library functions to enable the embedding of speech synthesis and phonetic conversion in external software.
  • Command-Line Speech Synthesizers - Provides a command line interface for triggering speech generation and managing audio output settings.
  • Phonetic Text Processors - Translates written text into phoneme codes with pitch and length information for linguistic analysis.
  • SSML Conversions - Processes SSML and HTML tags to provide precise control over the delivery, timing, and pitch of speech.
  • Synthesis Parameter Configuration - Provides controls for modifying the speaking rate, pitch, and voice profiles to adjust synthesis output.
  • Phonetic Data Export - Generates phoneme sequences and phonetic data from text for use in linguistic analysis.
  • Pronunciation Customization - Provides tools to modify phoneme tables and intonation rules to define specific language pronunciations.
  • Speech Synthesis Markup Controls - Supports SSML and HTML tags to programmatically control the pitch, timing, and prosody of synthesized speech.
  • Voice Library Extensions - Enables the extension of the voice library by adding new voice entries via definition files and phoneme maps.
  • Pronunciation Dictionaries - Uses extended pronunciation dictionaries to improve the accuracy and coverage of synthesized speech.
  • Synthetic Voice Design - Supports the definition of language pronunciation rules and vocal characteristics to create specific accents and tones.
  • Voice Definition Tables - Uses external definition files and phoneme translation maps to configure vocal characteristics and pronunciation.
  • Voice Property Specifications - Allows the specification of output characteristics by defining language, regional variants, gender, and voice names.
  • AI & Machine Learning - Versatile open-source speech synthesizer.
  • Developer Tools - Multi-lingual text-to-speech engine.

Star history

Star history chart for espeak-ng/espeak-ngStar history chart for espeak-ng/espeak-ng

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Frequently asked questions

What does espeak-ng/espeak-ng do?

espeak-ng is a multilingual text-to-speech engine and C-based library that converts written text into spoken audio across various languages, accents, and regional dialects. It functions as both a programmatic interface for embedding synthesis capabilities into external applications and a phonetic text converter that translates written text into phoneme codes.

What are the main features of espeak-ng/espeak-ng?

The main features of espeak-ng/espeak-ng are: Multilingual Text-to-Speech Engines, Speech Synthesis Libraries, Diphone Synthesizers, Formant Synthesizers, Formant Synthesis, Grapheme To Phoneme Conversion, Diphone Synthesis, Text-to-Speech Integrations.

Which projects share features with espeak-ng/espeak-ng?

Projects with overlapping indexed features include: lokerl/tts-vue — 🎤 微软语音合成工具,使用 Electron + Vue + ElementPlus + Vite 构建。. koljab/realtimetts — RealtimeTTS is a real-time text-to-speech engine and stream processor designed to convert text or token streams into… remsky/kokoro-fastapi — Kokoro-FastAPI is a text-to-speech API and LLM speech synthesis server that generates spoken audio from text via a… moonshine-ai/moonshine — Moonshine is a complete on-device voice interface toolkit that provides speech recognition, text-to-speech synthesis,… supertone-inc/supertonic — Supertonic is an on-device neural text-to-speech engine that runs entirely locally without cloud dependencies or GPU… myshell-ai/melotts — MeloTTS is an open-source text-to-speech library that generates natural-sounding speech across six languages, with the…

Projects sharing features with Espeak Ng

These projects share indexed features with Espeak Ng. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • lokerl/tts-vueLokerL avatar

    LokerL/tts-vue

    6,098View on GitHub↗

    🎤 微软语音合成工具,使用 Electron Vue ElementPlus Vite 构建。

    TypeScriptelectronelement-plustts
    View on GitHub↗6,098
  • koljab/realtimettsKoljaB avatar

    KoljaB/RealtimeTTS

    3,964View on GitHub↗

    RealtimeTTS is a real-time text-to-speech engine and stream processor designed to convert text or token streams into audio playback with minimal latency. It provides a programmatic interface for managing audio streams, synthesis progress, and the integration of local or cloud-based speech engines. The system includes a neural voice cloning tool that generates synthetic speech by extracting acoustic features from reference audio samples. It utilizes a provider-based abstraction to route synthesis requests across different neural models and cloud APIs. The project covers a range of functional

    Pythonpythonrealtimespeech-synthesis
    View on GitHub↗3,964
  • remsky/kokoro-fastapiremsky avatar

    remsky/Kokoro-FastAPI

    4,422View on GitHub↗

    Kokoro-FastAPI is a text-to-speech API and LLM speech synthesis server that generates spoken audio from text via a REST interface. It functions as a Kubernetes-native deployment designed for orchestrated speech synthesis. The system includes a voice blending engine that creates unique vocal profiles by mixing multiple existing voices using custom weight ratios. The service provides real-time audio streaming to reduce latency and generates word-level timestamps for speech synchronization. It manages hardware efficiency through on-demand model loading to optimize VRAM usage and includes system

    Pythonfastapihuggingface-spaceskokoro
    View on GitHub↗4,422
  • moonshine-ai/moonshinemoonshine-ai avatar

    moonshine-ai/moonshine

    8,527View on GitHub↗

    Moonshine is a complete on-device voice interface toolkit that provides speech recognition, text-to-speech synthesis, phonetic processing, speaker diarization, and intent recognition, all running locally on edge hardware without any cloud dependency. It executes quantized neural networks for speech and language tasks directly on the device, enabling fully offline conversational AI capabilities. The toolkit distinguishes itself by orchestrating multi-turn spoken exchanges through a conversational flow manager that maintains context across interactions and manages branching dialog flows. It inc

    C++
    View on GitHub↗8,527
Compare all 30 related projects→