#TTS

'Uni-MoE-2.0-Omni is an open omnimodal MoE on a Qwen2.5-7B core that unifies text, image, audio and video via a shared token interface, dynamic expert routing and staged training for robust multimodal understanding and generation.'

'Liquid AI released LFM2-Audio-1.5B, an end-to-end audio-language model that achieves sub-100 ms latency and supports ASR, TTS and conversational agents from a compact 1.5B-parameter stack.'

'Guide to turning photo folders into narrated videos with minimal fuss, avoiding watermark surprises and choosing the best AI tools for realism, speed, or scale.'

'An accessible deep dive into how AI video generators transform prompts into polished videos, with practical workflows, ethical notes, and tool recommendations.'

'Learn how to build a real-time voice AI agent with Whisper for ASR, FLAN-T5 for reasoning, and Bark for TTS — all running in Colab with a simple Gradio UI.'

'Microsoft released VibeVoice 1.5B, an open source TTS model that generates up to 90 minutes of expressive audio with up to four speakers and supports cross lingual and singing synthesis.'

'Discover how AI voice agents work, why they matter now, and compare the top 9 platforms to build production-grade voice bots in 2025.'

Kyutai has launched a groundbreaking streaming TTS model with 2 billion parameters, achieving 220ms latency and trained on 2.5 million hours of speech. This open-source model supports multiple users and real-time applications, advancing speech AI technology.

Text-to-speech AI technology is reshaping e-learning by making education more accessible, engaging, and personalized for learners worldwide.

Text-to-speech technology is revolutionizing education by making learning materials accessible to students with disabilities and diverse needs, fostering inclusivity and flexible study options.