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Recently, the French AI laboratory Kyutai announced the official open source of its new text-to-speech model, Kyutai TTS, providing global developers and researchers with a high-performance, low-latency speech synthesis solution. This breakthrough release not only promotes the development of open-source AI technology but also opens up new possibilities for multilingual voice interaction applications. AIbase provides an exclusive analysis of this technological highlight and its potential impact. Ultra-low latency, a new experience in real-time interaction. Kyutai TTS has become an industry standout with its exceptional performance.

El 3 de julio, el instituto francés de investigación en inteligencia artificial Kyutai Labs anunció el lanzamiento del código abierto de su última tecnología de síntesis de voz (TTS), Kyutai TTS, ofreciendo soluciones de generación de voz eficientes y en tiempo real a desarrolladores e entusiastas de la IA. Kyutai TTS destaca por su bajo latencia y sonido de alta fidelidad, permitiendo la transmisión de texto en flujo, comenzando a generar audio sin necesidad de tener todo el texto completo, especialmente adecuado para escenarios de interacción en tiempo real. Kyutai TTS destaca por su excelente rendimiento. Utiliza una sola tarjeta gráfica NVIDIA L40S

Recently, a speech synthesis model called Qwen-TTS has made new progress, with its latest version update completed through the Qwen API, bringing users a richer speech synthesis experience. In this update, Qwen-TTS added support for three Chinese dialects: Beijing dialect, Shanghai dialect, and Sichuan dialect, further expanding its application scenarios. The model is trained on a large-scale corpus of more than 3 million hours, achieving naturalness and expressiveness at a human level. Qwen-TTS can not only accurately

ByteDance's Seed Team recently released the impressive results of the 2025 full subject Gaokao test: the Dou Bao Seed1.6-Thinking model scored 683 in literature and 648 in science, meeting the admission threshold for Tsinghua and Peking University, and performed outstandingly in domestic and international AI model Gaokao tests. The test used the national new volume one and Shandong Province's independent proposition papers, with Dou Bao competing against five other top domestic and international AI models such as Google Gemini 2.5 Pro, DeepSeek R1, and OpenAI o3.

Repello AI is a startup focused on generative AI security. The company recently secured $1.225 million in seed funding to further its mission of protecting generative AI systems from emerging threats. Founded in 2024, the company is dedicated to building continuous AI red team testing and security protection solutions, with two flagship products: ARTEMIS and Repello Guard. This round of financing was supported by multiple investment institutions, including one that has been integrated into G.

Significant progress has been made in the field of AI voice technology as Fish Audio announces the open sourcing of its new Text-to-Speech (TTS) model, OpenAudio S1-Mini. As a streamlined version of the highly-acclaimed S1 model, S1-Mini has triggered industry discussions due to its lightweight design, high expressiveness, and multi-language support. Key Features: Lightweight and High Performance OpenAudio S1-Mini is a lightweight version distilled from the 4B-parameter S1 model, containing only 0.5B parameters.

A major breakthrough has been achieved in artificial intelligence voice synthesis technology! AIbase learned from social media platforms that Bland AI has officially released its new Bland TTS engine, claiming to be the first voice AI technology to cross the Uncanny Valley. This engine uses large language models (LLMs) to directly generate speech and can achieve voice cloning of any person by using just a short audio clip, supporting flexible mixing of intonation, rhythm, and other styles. This article will provide you with an in-depth analysis of the innovative features of Bland TTS and its impact on AI voice applications.

Recently, the domestic embodied intelligent start-up "Lingyu Intelligence" announced the completion of a multimillion-dollar seed round financing. This round was led by InnoAngel Fund, with participation from Shuimu Alumni Seed Fund and Horizon Ventures. The company was co-founded by Jin Ge, an alumnus of the Department of Automation at Tsinghua University, together with his team. It is committed to creating a benchmark for embodied intelligent applications, accelerating the real-world implementation of robots in industrial and home scenarios. Lingyu Intelligence, leveraging its technical accumulation in the field of robot motion control, has built a general solution covering data collection from the human side, actuators on the machine side, to intelligent operation platforms, bridging from level L0 to L4 of intelligence.

ByteDance recently announced the official launch of its "Top Seed" program for recruiting top AI talent from the class of 2026. The program aims to recruit approximately 30 outstanding doctoral students. This initiative focuses on cutting-edge artificial intelligence, encompassing research areas such as large language models, machine learning algorithms and systems, multi-modal generation and understanding, and speech processing. ByteDance hopes to attract young talents with strong potential and passion in the field of large language model research. Unlike previous recruitment plans, this year's "Top Seed" program emphasizes no restrictions on academic background.

Nari Labs, a two-person startup, has released Dia, a 1.6 billion parameter text-to-speech (TTS) model designed to generate natural conversations directly from text prompts. Co-founder Toby Kim claims Dia surpasses proprietary offerings from competitors like ElevenLabs, as well as Google's NotebookLM AI podcast generation capabilities, and potentially even OpenAI's recently released gpt-4o-mini.

Hangzhou-based medical AI company, MeiYin Intelligence Technology Co., Ltd., recently announced it has secured millions of yuan in seed funding. The funding will primarily be used for R&D and commercialization of its core product. The round was led by Zhuoyuan Asia, with participation from Xihu Government Direct Investment Fund. MeiYin Intelligence focuses on leveraging AI to predict disease risk and promote health management. Its core product, based on its self-developed DP-LLM large model, supports the processing of multimodal medical data to accurately quantify an individual's future disease risk, covering hundreds of diseases and more.