# koljab/realtimetts

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/koljab-realtimetts).**

3,964 stars · 399 forks · Python · MIT

## Links

- GitHub: https://github.com/KoljaB/RealtimeTTS
- awesome-repositories: https://awesome-repositories.com/repository/koljab-realtimetts.md

## Topics

`python` `realtime` `speech-synthesis` `text-to-speech`

## Description

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 domains including asynchronous playback control, token-stream audio synthesis, and speech synchronization workflows that trigger callbacks at the word or character level. It also supports exporting synthesized audio directly to WAV files for persistent storage.

## Tags

### Artificial Intelligence & ML

- [Real-Time Text-To-Speech](https://awesome-repositories.com/f/artificial-intelligence-ml/real-time-text-to-speech.md) — Converts streaming text or token sequences into audio immediately to minimize the delay between generation and playback.
- [Text-to-Audio Token Decoding](https://awesome-repositories.com/f/artificial-intelligence-ml/audio-tokenization/streaming-tokenization/incremental-audio-token-decoding/text-to-audio-token-decoding.md) — Processes incoming text chunks into audio fragments incrementally to minimize delay between input and playback.
- [Voice Cloning Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/voice-cloning-tools.md) — Ships a neural tool that generates synthetic speech by cloning human voices from reference audio samples.
- [Real-Time Speech Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/real-time-speech-processing/real-time-speech-synthesis.md) — Converts strings or token streams into audio in real-time to minimize playback latency. ([source](https://cdn.jsdelivr.net/gh/koljab/realtimetts@master/README.md))
- [Voice Cloning Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/speech-synthesis-models/voice-cloning-engines.md) — Generates synthetic speech by extracting acoustic features from reference audio samples to mimic human voices.
- [Text-to-Speech Integrations](https://awesome-repositories.com/f/artificial-intelligence-ml/speech-to-text-integrations/text-to-speech-integrations.md) — Provides interfaces to connect local models and cloud APIs for converting text into audio chunks. ([source](https://cdn.jsdelivr.net/gh/koljab/realtimetts@master/README.md))
- [Multi-Provider Abstractions](https://awesome-repositories.com/f/artificial-intelligence-ml/model-provider-integrations/multi-provider-abstractions.md) — Uses a common interface to route synthesis requests across different local neural models and cloud providers.
- [Audio File Exports](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/audio-file-exports.md) — Supports writing synthesized speech buffers directly to WAV files on disk for persistent storage.

### Data & Databases

- [TTS Stream Processors](https://awesome-repositories.com/f/data-databases/data-processing-pipelines/stream-processing-systems/data-streaming/structured-event-streams/streaming-processors/tts-stream-processors.md) — Transforms incoming text strings into real-time audio streams for synchronized playback and event triggering.

### Graphics & Multimedia

- [Text-to-Speech Engines](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/audio-processing-systems/audio-processing/text-to-speech-engines.md) — Operates as a system for converting text or token streams into audio playback with minimal latency.
- [Playback Controls](https://awesome-repositories.com/f/graphics-multimedia/audio-music/audio-playback/playback-controls.md) — Implements a non-blocking command queue to pause, resume, and stop audio playback during runtime.

### Operating Systems & Systems Programming

- [Speech Synthesis Libraries](https://awesome-repositories.com/f/operating-systems-systems-programming/speech-synthesis-libraries.md) — Provides a programmatic interface for managing audio playback, exporting files, and tracking synthesis progress.

### Software Engineering & Architecture

- [Speech Progress Callbacks](https://awesome-repositories.com/f/software-engineering-architecture/event-driven-callbacks/speech-progress-callbacks.md) — Triggers word and character-level events to synchronize external actions with the spoken audio timeline.
