Zonos is a controllable audio synthesis engine and large language model for text-to-speech. It serves as a multilingual speech generator capable of producing audio in English, Japanese, Chinese, French, and German.
Die Hauptfunktionen von zyphra/zonos sind: Zero-Shot Voice Cloning, Waveform Decoders, Text-to-Speech Conversions, Multilingual Text-to-Speech Engines, Voice Cloning Engines, Text-To-Speech Models, Multilingual Speech Synthesizers, Prosody Controls.
Open-Source-Alternativen zu zyphra/zonos sind unter anderem: supertone-inc/supertonic — Supertonic is an on-device neural text-to-speech engine that runs entirely locally without cloud dependencies or GPU… whisperspeech/whisperspeech — WhisperSpeech is a multilingual speech synthesizer and neural text-to-speech system. It functions by inverting the… metavoiceio/metavoice-src — This project is an expressive text-to-speech foundation model and voice cloning system designed to synthesize… openbmb/minicpm-o — MiniCPM-o is a multimodal large language model designed to function as a real-time conversational assistant on edge… plachtaa/vall-e-x — VALL-E-X is a neural speech synthesis framework and zero-shot text-to-speech engine. It functions as a multilingual… swivid/f5-tts — F5-TTS is a text-to-speech system that utilizes a flow matching engine and diffusion transformers to generate fluent…
Supertonic is an on-device neural text-to-speech engine that runs entirely locally without cloud dependencies or GPU acceleration. It converts written text into natural-sounding speech across 31 languages with automatic language detection and a fallback model for unsupported locales. The engine provides expressive speech control through inline prosody tags that dynamically adjust pitch, rate, and tone during synthesis. It supports voice cloning from a short reference audio clip by extracting a speaker embedding vector, and offers a selection of pre-built voices tuned for different use cases.
WhisperSpeech is a multilingual speech synthesizer and neural text-to-speech system. It functions by inverting the Whisper model architecture to convert text into high-fidelity synthetic audio. The system enables voice cloning by using reference audio files to mimic specific speakers. It supports multilingual speech production, which includes the ability to generate audio across different languages and handle language switching within a single sentence. The project covers a broad range of speech capabilities, including text-to-speech generation and speech dataset preparation. It incorporates
This project is an expressive text-to-speech foundation model and voice cloning system designed to synthesize human-like speech with emotional nuance and high fidelity. It functions as a finetunable speech model that can generate audio mimicking a specific person using a reference voice sample. The system distinguishes itself through a high-performance inference engine that utilizes memory caching and hardware compilation to reduce latency during the audio generation process. It further allows for synthesis quality improvements by training the language model on custom datasets consisting of a
MiniCPM-o is a multimodal large language model designed to function as a real-time conversational assistant on edge devices. By mapping text, image, video, and audio inputs into a unified latent space, the system enables simultaneous cross-modal reasoning and full-duplex interaction. It is built as an edge-side inference engine, utilizing quantized model weights to maintain high-performance processing on consumer hardware. The system distinguishes itself through its integrated speech synthesis and voice cloning capabilities, which allow for the generation of expressive, personalized vocal out