Recently, Resemble AI released Chatterbox-Turbo, a high-performance conversational text-to-speech (TTS) model, which is the first open-source model for controlling the level of emotion.The model is built on a streamlined 350M parameter architecture and adopts an advanced non-autoregressive generative architecture, which can significantly reduce the demand for computing resources and GPU memory while generating high-quality speech, achieving a performance improvement compared to previous models.

In addition, the development team optimized the speech representation decoder, which constituted the bottleneck of generation in the original model, using knowledge distillation technology.Successfully reduced the speech generation process from ten steps to one.While greatly improving the generation speed, it ensures that the audio output still maintains high fidelity.

Chatterbox-Turbo combines a T3 (Text-to-Token Transformer) semantic processing module with an S3Gen traffic matching decoder optimized for real-time conversations. Its key technical advantages include:

* Optimize inference efficiency:The Turbo version, designed specifically for real-time interaction, significantly improves output efficiency without sacrificing high sampling rate output.

* High-fidelity cloning of a few audio segments:With just 5 to 10 seconds of reference audio, you can accurately replicate the timbre, intonation, and rhythm of the target voice.

* Native secondary language tag support:Integrated tag-based control can seamlessly generate non-verbal signals such as laughter, coughing, or sighing, significantly enhancing the naturalness of human-computer interaction.

* Embedded system compliance:The system uses Perth implicit audio watermarking technology, providing robust source tracking and copyright protection without affecting sound quality.

Chatterbox-Turbo's powerful real-time capabilities have driven innovation across multiple fields: in intelligent customer service and digital humans, it enables millisecond-level responses; in gaming, it provides dynamic NPC voices and emotional interactions for game development; in podcasts and audiobooks, it offers cost-effective solutions for generating high-quality readings; and in multilingual education, it can simulate natural, accented conversations.

The HyperAI website now features "Chatterbox-Turbo High-Performance Conversational Speech Synthesis," so give it a try!

Online use:https://go.hyper.ai/GTYF4https://go.hyper.ai/GTYF4

A quick overview of hyper.ai's official website updates from December 22nd to December 26th:

* High-quality tutorial selection: 4

* Popular encyclopedia entries: 5

Top conferences with January deadlines: 11

Visit the official website:hyper.ai

Selected Public Tutorials

1. Chatterbox-Turbo: High-performance conversational speech synthesis

Chatterbox-Turbo, released by Resemble AI, is a high-performance conversational text-to-speech (TTS) framework designed to provide next-generation AI agents with ultra-fast, expressive, and emotionally nuanced voice interaction. By employing an advanced non-autoregressive generative architecture, the model achieves exceptional audio fidelity and timbre accuracy while maintaining minimal inference latency. Its core technological innovation lies in integrating flow matching with a high-efficiency transformer backbone, effectively addressing the speed bottleneck commonly encountered in traditional TTS models for generating long sequences.

Run online:https://go.hyper.ai/GTYF4

2. Qwen Image Layered Interface automatically splits multiple layers.

Qwen Image Layered is an open-source image understanding and decomposition model released by the Alibaba Qwen team. It focuses on automatically decomposing complex natural images into multiple semantically coherent and spatially aligned image layers. Based on a single input image, it utilizes multi-stage diffusion and structural modeling mechanisms to generate a set of visual layers with clear semantic hierarchies. It is suitable for image structure analysis, layered editing, content understanding, and multimodal applications.

Run online:https://go.hyper.ai/RRZ0a

3. LightOnOCR-1B-Interface: A high-speed OCR engine for complex documents.

The LightOnOCR-1B-1025, released by LightOn, is an end-to-end visual language OCR model with 1 billion parameters, designed specifically for extracting text from scanned documents, complex layout pages, and high-resolution PDFs. This model combines a Pixtral-based Vision Transformer encoder with a lightweight Qwen3 text decoder, both deeply optimized for document parsing. It performs layout-aware, high-precision text extraction from high-resolution pages and excels in tables, receipts, tables, mathematical symbols, and multi-column layouts.

Run online:https://go.hyper.ai/JKERT

4. LongCat-Image-Edit-Interface: A bilingual text-driven image editing system

LongCat-Image-Edit is an open-source, instruction-based image editing model released by the Meituan LongCat team. Based on the LongCat-Image framework, it is suitable for bilingual (Chinese and English) scenarios and focuses on precise and controllable visual modification of existing images through natural language instructions.

Run online: https://go.hyper.ai/2OKU3

Popular Encyclopedia Articles

1. Nuclear Norm

2. Bidirectional Long Short-Term Memory (Bi-LSTM)

3. Ground Truth

4. Embodied Navigation

5. Frames Per Second (FPS)

Here are hundreds of AI-related terms compiled to help you understand "artificial intelligence" here:

https://go.hyper.ai/wiki

One-stop tracking of top AI academic conferences:https://go.hyper.ai/event

The above is all the content of this week’s editor’s selection. If you have resources that you want to include on the hyper.ai official website, you are also welcome to leave a message or submit an article to tell us!

See you next week!

About HyperAI

HyperAI (hyper.ai) is the leading artificial intelligence and high-performance computing community in China.We are committed to becoming the infrastructure in the field of data science in China and providing rich and high-quality public resources for domestic developers. So far, we have:

* Provide domestic accelerated download nodes for 1800+ public datasets

* Includes 600+ classic and popular online tutorials

* Interpretation of 200+ AI4Science paper cases

* Supports 600+ related terms search

* Hosting the first complete Apache TVM Chinese documentation in China