Orpheus TTS is an open-source text-to-speech system based on the Llama-3b model, aiming to provide more natural human speech synthesis. It boasts strong voice cloning and emotional expression capabilities, suitable for various real-time applications. This product is free and aims to provide developers and researchers with a convenient speech synthesis tool.

NotaGen is an innovative symbolic music generation model that enhances music generation quality through three stages: pre-training, fine-tuning, and reinforcement learning. Utilizing large language model technology, it can generate high-quality classical music scores, bringing new possibilities to music creation. The model's main advantages include efficient generation, diverse styles, and high-quality output. It is applicable in music creation, education, and research, with broad application prospects.

Spark-TTS is a highly efficient text-to-speech synthesis model based on large language models, featuring single-stream decoupled speech tokens. Leveraging the power of large language models, it directly reconstructs audio predicted from code, omitting the additional acoustic feature generation model, thus improving efficiency and reducing complexity. This model supports zero-shot text-to-speech synthesis, enabling cross-lingual and code-switching scenarios, making it ideal for speech synthesis applications requiring high naturalness and accuracy. It also supports virtual voice creation; users can generate different voices by adjusting parameters such as gender, pitch, and speaking rate. The model aims to address the inefficiencies and complexities of traditional speech synthesis systems, providing a highly efficient, flexible, and powerful solution for research and production. Currently, the model is primarily intended for academic research and legitimate applications such as personalized speech synthesis, assistive technologies, and language research.

DiffRhythm is an innovative music generation model that utilizes latent diffusion technology to achieve fast and high-quality full-song generation. This technology breaks through the limitations of traditional music generation methods, eliminating the need for complex multi-stage architectures and cumbersome data preparation. Only lyrics and style prompts are needed to generate a complete song up to 4 minutes and 45 seconds in a short time. Its autoregressive structure ensures fast inference speed, greatly improving the efficiency and scalability of music creation. The model was jointly developed by the Audio, Speech, and Language Processing group (ASLP@NPU) at Northwestern Polytechnical University and the Big Data Institute of the Chinese University of Hong Kong (Shenzhen), aiming to provide a simple, efficient, and creative solution for music creation.

Llasa is a text-to-speech (TTS) base model based on the Llama framework, designed for large-scale speech synthesis tasks. The model is trained using 160,000 hours of tokenized speech data and has efficient language generation capabilities and multilingual support. Its main advantages include powerful speech synthesis capabilities, low inference costs, and flexible framework compatibility. This model is suitable for education, entertainment, and commercial scenarios, providing users with high-quality speech synthesis solutions. This model is currently freely available on Hugging Face, aiming to promote the development and application of speech synthesis technology.

IndexTTS is a GPT-style text-to-speech (TTS) model primarily developed based on XTTS and Tortoise. It can correct Chinese pronunciation using pinyin and control pauses using punctuation marks. This system introduces a character-pinyin mixed modeling method in Chinese scenarios, significantly improving training stability, timbre similarity, and audio quality. Furthermore, it integrates BigVGAN2 to optimize audio quality. The model is trained on tens of thousands of hours of data and outperforms current popular TTS systems such as XTTS, CosyVoice2, and F5-TTS. IndexTTS is suitable for scenarios requiring high-quality speech synthesis, such as voice assistants and audiobooks, and its open-source nature makes it suitable for academic research and commercial applications.

InspireMusic is an AIGC toolkit and model framework focused on music, songs, and audio generation, developed using PyTorch. It achieves high-quality music generation through audio tokenization and decoding processes, combining autoregressive transformers and conditional flow matching models. This toolkit supports multiple conditional controls such as text prompts, music styles, and structures, enabling the generation of high-quality audio at both 24kHz and 48kHz, as well as supporting long audio generation. Additionally, it offers convenient fine-tuning and inference scripts for users to adjust the model according to their needs. The open-source nature of InspireMusic aims to empower everyday users to enhance sound effects in their research through music creation.

Zonos is an advanced text-to-speech model that supports multiple languages and can generate natural speech based on text prompts along with speaker embeddings or audio prefixes. It also features voice cloning, allowing for accurate replication of a speaker's voice with just a few seconds of reference audio. The model delivers high-quality speech output (44kHz) and allows fine control over speech rate, pitch variation, audio quality, and emotional tone (such as happiness, fear, sadness, and anger). Zonos offers Python and Gradio interfaces for easy user onboarding and supports deployment through Docker. The model achieves a real-time factor of approximately 2 times on an RTX 4090, making it suitable for applications that require high-quality speech synthesis.

Developed by Zyphra, Zonos-v0.1-hybrid is an open-source text-to-speech model capable of generating highly natural speech based on text prompts. The model is trained on extensive English voice data, employing eSpeak for text normalization and phoneme processing, and predicting DAC tokens via a transformer or hybrid backbone network. It supports multiple languages, including English, Japanese, Chinese, French, and German, and allows for fine control over speech speed, pitch, audio quality, and emotion. Additionally, it features zero-shot voice cloning, requiring only 5 to 30 seconds of speech samples to achieve high-fidelity voice replication. The model operates with a real-time factor of about 2x on an RTX 4090, offering fast performance. It is equipped with an easy-to-use gradio interface and can be easily installed and deployed using Docker. Currently, the model is available on Hugging Face for free, but users need to deploy it themselves.

Wondera is an AI music collaboration tool that can co-create music with users, offering creative inspiration and music production support. The product background is designed to enable users to collaborate with AI on creating unique musical works. It is suitable for music creators and enthusiasts. The price is free.

Lami AI Music Generator is an advanced AI tool that quickly converts text into original music and supports commercial use. It offers features like AI vocal elimination and audio track separation to lower the barriers to music creation.

LofiLab is a web application that allows you to explore and enjoy various forms of ambient music, music, and visual effects. With an intuitive interface and powerful features, you can create personalized, immersive experiences tailored to your preferences.

The AI rap generator is a tool that uses AI technology to turn text into rap music, capable of quickly producing unique rap music works. Its advantages include quick creation, helping to overcome creative blocks, providing free music, etc.

Lyria 2 is the latest music generation model capable of creating high-fidelity music in various styles, suitable for complex musical works. This model not only provides powerful tools for music creators but also drives the development of music generation technology, improving creative efficiency. Lyria 2 aims to make music creation simpler and more accessible, providing flexible creative support for both professional musicians and amateurs.

Text to Bark is the first AI-powered text-to-speech model developed by ElevenLabs, designed to help people communicate more effectively with their dogs. This technology not only demonstrates high-quality speech synthesis but also simulates dog sounds naturally, creating a communication method suitable for dogs to understand. The launch of this innovative product elevates the interaction between humans and pets to a new level, making communication between owners and their dogs more interesting and effective. Users can generate corresponding "dog language" through simple text input, thereby better understanding and interacting with their pets.

Mureka is an AI music generation platform designed to help users transform text or prompts into high-quality musical works. The product uses intelligent algorithms to process users' lyrics and music style choices, generating professionally produced songs ideal for music creators and enthusiasts. Mureka offers unlimited creations and guarantees that the generated music is royalty-free and suitable for any commercial use.

This is a powerful text-to-speech generator with over 1000 high-quality AI voices. Suitable for various use cases such as podcasts, education, and business content creation. Users can leverage this platform to generate clear, natural-sounding voice content, supporting voice cloning and audio/video editing. Reasonably priced at only $39.99 per month, it's suitable for both individuals and businesses.

Orpheus TTS is an open-source text-to-speech system based on the Llama-3b model, aiming to provide more natural human speech synthesis. It boasts strong voice cloning and emotional expression capabilities, suitable for various real-time applications. This product is free and aims to provide developers and researchers with a convenient speech synthesis tool.