# ohf-voice/piper1-gpl

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2,897 stars · 290 forks · C++ · gpl-3.0

## Links

- GitHub: https://github.com/OHF-Voice/piper1-gpl
- awesome-repositories: https://awesome-repositories.com/repository/ohf-voice-piper1-gpl.md

## Description

This project is a neural text-to-speech system and voice trainer that converts written text into spoken audio across a variety of global languages and regional dialects. It functions as an ONNX-based engine capable of performing fast offline inference and uses a phoneme-based controller to manage precise pronunciation.

The system distinguishes itself through a comprehensive toolkit for neural voice training, allowing for the creation of custom single-speaker or multi-speaker models. It supports the export of these models to a standardized open format and provides hardware acceleration via graphics processors to increase the speed of audio generation.

The engine covers a wide range of synthesis capabilities, including real-time chunked audio streaming and file-based export. It provides granular control over vocal delivery through raw phoneme injection, punctuation-based prosody adjustments, and the modification of speaking speed and volume.

## Tags

### Artificial Intelligence & ML

- [Neural Text-to-Speech Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/neural-text-to-speech-engines.md) — Implements a deep learning pipeline that translates characters into phonemes and generates raw audio waveforms.
- [Multi-Language Speech Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/cross-lingual-speech-generators/multi-language-speech-generators.md) — Supports a wide variety of global languages and regional dialects through language-specific neural pipelines.
- [Voice Model Trainers](https://awesome-repositories.com/f/artificial-intelligence-ml/language-model-trainers/voice-model-trainers.md) — Provides a toolkit for training custom single-speaker or multi-speaker voice models from recordings and transcripts.
- [Voice Synthesizer Training](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/voice-synthesis/modular-voice-configurations/voice-synthesizer-training.md) — Implements a toolkit for training neural text-to-speech models to mimic specific target speakers. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/TRAINING.md))
- [Multi-Speaker Training](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/voice-synthesis/modular-voice-configurations/voice-synthesizer-training/multi-speaker-training.md) — Supports training a single model to synthesize multiple distinct voices by linking recordings to unique speaker identifiers. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/TRAINING.md))
- [Multi-Speaker Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-speaker-synthesis.md) — Enables the development of a single neural model capable of synthesizing multiple distinct voices and regional dialects.
- [Speaker Embeddings](https://awesome-repositories.com/f/artificial-intelligence-ml/speaker-embeddings.md) — Uses unique speaker identifiers to link multiple distinct voices within a single neural model.
- [Text-to-Speech Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech-synthesis.md) — Provides an HTTP interface for converting written text into spoken audio with adjustable speed and variability. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/API_HTTP.md))
- [ONNX-Based Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech-synthesis/onnx-based-engines.md) — Implements a neural speech synthesis system using ONNX models for high-performance offline inference.
- [Phoneme-Based Speech Processors](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/phoneme-based-speech-processors.md) — Converts text into a sequence of specific speech sounds to ensure precise pronunciation and intonation.
- [Multi-Language Speech Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/speech-to-speech-models/speech-to-speech-frameworks/speech-integration-engines/vision-language-speech-integrations/multi-language-speech-generators.md) — Synthesizes spoken audio across a wide variety of global languages and regional dialects. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/VOICES.md))
- [GPU Acceleration](https://awesome-repositories.com/f/artificial-intelligence-ml/gpu-acceleration.md) — Provides hardware acceleration via graphics processors to increase the speed of neural audio generation. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/API_PYTHON.md))
- [Hardware-Accelerated Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/hardware-accelerated-inference.md) — Offloads neural network computations to GPUs to increase the speed of audio generation.
- [ONNX Model Exporters](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-deployment-and-serving/serialization-and-export-formats/onnx-model-exporters.md) — Converts trained neural network checkpoints into the standardized ONNX format for cross-platform acceleration. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/TRAINING.md))
- [Vocal Characteristic Adjustments](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/voice-synthesis/vocal-characteristic-adjustments.md) — Provides tools to modify the volume, speaking speed, and audio variation of generated speech. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/API_PYTHON.md))
- [Audio File Exports](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/audio-file-exports.md) — Converts text into spoken audio and writes the resulting sound directly to waveform files. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/API_PYTHON.md))
- [Local Speech Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/local-speech-synthesis.md) — Supports local speech generation by using pre-trained models exported to formats like ONNX for standalone use.
- [Raw Phoneme Injection](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/phoneme-based-speech-processors/raw-phoneme-injection.md) — Allows for precise pronunciation control by inserting specific phonemes into text blocks to override automatic conversion. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/CLI.md))
- [Phonetic Pronunciation Overrides](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/phonetic-pronunciation-overrides.md) — Allows manual overriding of text-to-phoneme conversion using raw phoneme IDs for exact pronunciation.
- [Weight-Based Initializations](https://awesome-repositories.com/f/artificial-intelligence-ml/training-checkpointers/weight-based-initializations.md) — Supports starting new voice model training from existing model weights to reduce compute and convergence time.

### Graphics & Multimedia

- [Generative Audio Chunking](https://awesome-repositories.com/f/graphics-multimedia/audio-music/audio-streaming-engines/audio-playback-engines/chunked-audio-streaming/generative-audio-chunking.md) — Produces synthesized audio in incremental chunks to allow playback to begin before processing is complete.
- [Streaming Audio Generators](https://awesome-repositories.com/f/graphics-multimedia/audio-music/audio-streaming-engines/audio-playback-engines/chunked-audio-streaming/generative-audio-chunking/streaming-audio-generators.md) — Generates spoken audio incrementally to enable immediate playback while the remaining text is being processed.
- [Live Synthesis Streaming](https://awesome-repositories.com/f/graphics-multimedia/audio-music/audio-streaming-engines/audio-playback-engines/chunked-audio-streaming/live-synthesis-streaming.md) — Streams synthesized speech in incremental chunks to allow playback to begin before the full text is processed. ([source](https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/API_PYTHON.md))
- [GPU-Accelerated TTS](https://awesome-repositories.com/f/graphics-multimedia/audio-music/speech-synthesis-tts/gpu-accelerated-tts.md) — Uses graphics processors to accelerate the neural speech synthesis process.