KittenML/KittenTTS
KittenTTS
KittenTTS is a neural text-to-speech engine and text-to-audio synthesis tool that converts written text into spoken audio using lightweight neural network models. It functions as both a speech synthesizer and an audio file generator, producing spoken audio for offline playback.
The system includes a text normalization processor that expands numbers and abbreviations into full spoken words to improve the naturalness of the synthesized speech. It supports diverse voice options and provides the ability to adjust playback speed.
Features
- Neural Text-to-Speech Engines - Uses lightweight neural network models to map text directly to audio waveforms for natural speech synthesis.
- Text-to-Audio Synthesis - Converts written text into audio samples using lightweight models with adjustable playback speed.
- Text-to-Speech - Synthesizes spoken audio from written text using a neural network model optimized for speed.
- Speech Synthesis Formatters - Prepares raw text by expanding abbreviations and numbers to ensure high-quality synthesized speech.
- Text-to-Speech Normalizers - Processes raw text to expand numbers and abbreviations into full spoken words for more natural synthesis.
- Automated Content Creation Tools - Generates audio files from text scripts to create voiceovers without manual recording.
- Lightweight Voice Generation - Produces spoken audio with adjustable speed using models optimized for low-resource hardware.
- Model Quantization - Uses model quantization to reduce precision, lowering memory usage and increasing inference speed on consumer hardware.
- Prosody Controls - Allows adjustment of speech speed and tone by modifying input variables during the inference process.
- Audio Generation - Functions as a generator that writes synthesized speech directly to audio files.
- Audio Exporters - Provides the ability to serialize synthesized audio buffers into standard files for permanent storage.
- Generative Audio Chunking - Implements sequential yielding of audio chunks during synthesis to enable low-latency playback.
- Audio and Video Processing - Provides lightweight, CPU-friendly text-to-speech synthesis.
- Audio Video Processing - Listed in the “Audio Video Processing” section of the Awesome Python awesome list.
- Speech Processing - Lightweight text-to-speech synthesis.
- Speech Synthesis - Lightweight speech synthesis for various applications.
