audio generation

"Our newest audio model introduces granular audio tags that give you precise control to direct AI speech for expressive audio generation."

"Lyria 3 and Lyria 3 Pro, our music generation models, are rolling out now to developers in public preview through the Gemini API and a new audio experience in Google AI Studio."

"Compared with the Mimi codec, experiments show that OmniCodec achieves outstanding performance at the same bitrate, delivering superior reconstruction quality while also providing more semantically informative representations that benefit downstream generation tasks."

"Check out Diffuse for easy out of the box user friendly stable diffusion in Windows."

"I'm back from last weeks post and so today I'm releasing a SOTA text-to-sample model built specifically for traditional music production."

"Self-Flow, a new learning approach for multimodal Generative AI"

"In linear evaluation across 22 diverse tasks, our method outperforms previous audio codec and audio encoder baselines by a significant margin while maintaining competitive audio reconstruction quality."

"After months of development, I'm launching Vynix — a cross-platform AI creative studio for mobile."

"Literally every single diffusion model and transformer model uses a frozen GAN-trained autoencoder as a backbone."

"ACE-Step 1.5 is an open-source music generation model jointly developed by StepFun and ACE Studio (ACE Music AI)."

"Google says that Lyria 3 improves on its previous audio generation models in its ability to create more "realistic and musically complex" tracks, give prompters more control over individual components of a song and automatically generate lyrics."

"To use the feature, you’ll describe the song you want to create, and the app will generate a track along with lyrics."

"The song only appears to be 30 seconds in length. The song plays in a little video with the Gemini symbol at the end linking to Gemini.google.com/music."

"This time, we will share the record of building a ComfyUI environment that can generate images and audio using nodes, leveraging the Mac Mini M4 Pro (64GB memory) that I purchased some time ago for Generative AI experiments."

"Using a voice extracted from a video AI, the model was able to replicate the voice with remarkable accuracy."

"Ming-Flash-Omni 2.0 is the industry's first full-scene audio unified generation model, capable of simultaneously generating speech, environmental sound effects, and music within the same audio track."

"The model generates connected shots with spatial continuity. A character moving through a scene maintains consistency across multiple camera angles."

"If you're spending time on text-to-speech conversion, utilizing AI voice generators is highly recommended."

"This is the closest open-source has gotten to Suno and similar top-slop platforms."

"JUST-DUB-IT generates audio + visuals jointly for perfect lip sync. It preserves laughs, background noise, and handles extreme angles/occlusions where others fail."

"Qwen3-TTS is generating buzz, with people asking, 'Do we even need ElevenLabs?'"

"It can generate 150 seconds of audio in just 1 second on a modern gpu and has high quality voice cloning."

"The evolution of AI music generation allows anyone to easily create 'that kind of music.'"

"I have designed it for massively improved stability and audio quality over the original model. ... I have trained Soprano further to reduce these audio artifacts."

"Current audio evaluation faces three major challenges: (1) audio evaluation lacks a unified framework, with datasets and code scattered across various sources, hindering fair and efficient cross-model comparison"

"The article introduces steps to export the settings of 'text-to-speech (TTS)' created in Google AI Studio's Playground to Python code and save the generated code almost as is to save the audio file (.wav)."

"The 'robotic feeling of AI' is a thing of the past. We can now create conversations that sound this natural."

"The research focuses on membership inference and dataset inference attacks."