Zyphra Zonos
Zonos is an open-source text-to-speech (TTS) model suite featuring two 1.6B parameter models (transformer and hybrid) with high-fidelity voice cloning, real-time generation, and expressive speech capabilities released under Apache 2.0 license.
https://www.zyphra.com/post/beta-release-of-zonos-v0-1?ref=aipure
Product Information
Updated:Feb 16, 2025
Zyphra Zonos Monthly Traffic Trends
Zyphra Zonos received 5.2k visits last month, demonstrating a Slight Decline of -5.4%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Zyphra Zonos
Zonos-v0.1 is a cutting-edge text-to-speech model suite developed by Zyphra that includes two 1.6B parameter models - a transformer model and an SSM hybrid model. Released in beta in February 2025, it was trained on approximately 200,000 hours of speech data covering multiple languages, though primarily English. The models can generate highly naturalistic speech with voice cloning capabilities from just 5-30 seconds of reference audio, while also offering control over speaking rate, pitch, audio quality, and emotions. Both models are released under the Apache 2.0 license, making them fully accessible for research and development.
Key Features of Zyphra Zonos
Zyphra Zonos is a cutting-edge text-to-speech (TTS) system featuring two 1.6B parameter models (transformer and SSM hybrid) released under Apache 2.0 license. It offers high-fidelity voice cloning capabilities, multilingual support, and real-time speech generation with expressive control over various vocal characteristics including emotions, speaking rate, and pitch. The system outputs high-quality 44KHz audio and provides both open-source model weights and a commercial API service.
High-Fidelity Voice Cloning: Can clone voices with high fidelity using just 5-30 seconds of speech samples
Expressive Control: Offers fine-grained control over speaking rate, pitch, audio quality, and emotions (sadness, fear, anger, happiness, surprise)
Multilingual Support: Supports multiple languages including English, Chinese, Japanese, French, Spanish, and German with high-quality speech synthesis
Dual Architecture: Features both transformer and SSM hybrid models, offering different performance characteristics and quality trade-offs
Use Cases of Zyphra Zonos
Content Creation: Enable creators to generate voiceovers and narrations with customized voices for videos, podcasts, and audiobooks
Accessibility Solutions: Provide text-to-speech services for visually impaired users with natural and expressive voice output
Language Learning: Support language education by providing native-speaker quality pronunciation in multiple languages
Virtual Assistants: Power conversational AI systems with natural-sounding and emotionally appropriate voice responses
Pros
Open source availability under Apache 2.0 license
High quality output matching or exceeding proprietary solutions
Flexible API with competitive pricing and free tier
Cons
Higher concentration of audio artifacts at generation start/end
Slower inference due to high bitrate requirements
Occasional text alignment issues with out-of-distribution sentences
How to Use Zyphra Zonos
Install Prerequisites: Install eSpeak library for phonemization on Ubuntu and install uv via pip: 'pip install -U uv'
Clone Repository: Clone the Zonos repository using: 'git clone https://github.com/Zyphra/Zonos.git' and cd into the directory: 'cd Zonos'
Choose Deployment Method: For Gradio interface: 'docker compose up' OR for development: 'docker build -t Zonos .'
Import Required Libraries: Import torch, torchaudio, and required Zonos modules: 'import torch, torchaudio, from zonos.model import Zonos, from zonos.conditioning import make_cond_dict'
Load Model: Load either the transformer model ('Zyphra/Zonos-v0.1-transformer') or hybrid model ('Zyphra/Zonos-v0.1-hybrid') using Zonos.from_pretrained() and specify device (e.g. 'cuda')
Prepare Audio Input: Load reference audio file using torchaudio.load() to create speaker embedding for voice cloning
Create Speaker Embedding: Generate speaker embedding from the input audio using model.make_speaker_embedding()
Set Conditioning: Create conditioning dictionary with text, speaker embedding, language and other optional parameters like emotions, speaking rate etc using make_cond_dict()
Generate Audio: Prepare conditioning, generate audio codes and decode to waveform using model.prepare_conditioning(), model.generate() and model.autoencoder.decode()
Save Output: Save the generated audio using torchaudio.save() with appropriate sampling rate
Zyphra Zonos FAQs
Zonos-v0.1 is a pair of expressive text-to-speech (TTS) models released by Zyphra, featuring a 1.6B transformer and 1.6B hybrid model with high-fidelity voice cloning capabilities. Both models are released under the Apache 2.0 license.
Zyphra Zonos Video
Analytics of Zyphra Zonos Website
Zyphra Zonos Traffic & Rankings
5.2K
Monthly Visits
#3719544
Global Rank
-
Category Rank
Traffic Trends: Nov 2024-Jan 2025
Zyphra Zonos User Insights
00:00:20
Avg. Visit Duration
2.02
Pages Per Visit
36.6%
User Bounce Rate
Top Regions of Zyphra Zonos
US: 58.68%
ID: 23.61%
DE: 8.37%
JP: 6.69%
HK: 2.64%
Others: NAN%
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