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Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊 Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator. Stable Audio 2.5 is purpose-built for this opportunity to...

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Stability AI

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67,618 Aufrufe • vor 11 Monaten •via X (Twitter)

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Stable Audio 2.5 in ComfyUI — the first audio generation model built for enterprise-grade sound production 🎶 ✨ Highlights: Generate 3-min tracks in 2s Multi-part compositions Audio inpainting / extensions Fully licensed dataset for commercial use 👉 Update ComfyUI → search “Stable Audio API”
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Stable Audio 2.5 in ComfyUI — the first audio generation model built for enterprise-grade sound production 🎶 ✨ Highlights: Generate 3-min tracks in 2s Multi-part compositions Audio inpainting / extensions Fully licensed dataset for commercial use 👉 Update ComfyUI → search “Stable Audio API”

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In this week’s Stability Seconds, we’re showing you how to generate custom, commercially safe audio for your next video project with Stable Audio 2.5 🎵 Here’s how you can do it: ▶️ Find a short video clip that you want to add sound to. ▶️ Prompt Stable Audio 2.5 for genre, overall mood, and instruments that match your video. In our prompt, we used terms like “cinematic,” “awe-inspiring,” and “dramatic horn section.” ▶️ Generate a 3-minute track, then scrub through to find the best cut. ▶️ Add that audio to your clip to create a polished soundtrack. You can learn more and start using Stable Audio 2.5 here 👉
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In this week’s Stability Seconds, we’re showing you how to generate custom, commercially safe audio for your next video project with Stable Audio 2.5 🎵 Here’s how you can do it: ▶️ Find a short video clip that you want to add sound to. ▶️ Prompt Stable Audio 2.5 for genre, overall mood, and instruments that match your video. In our prompt, we used terms like “cinematic,” “awe-inspiring,” and “dramatic horn section.” ▶️ Generate a 3-minute track, then scrub through to find the best cut. ▶️ Add that audio to your clip to create a polished soundtrack. You can learn more and start using Stable Audio 2.5 here 👉

Stability AI

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This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸ MusicGen: controllable text-to-music model. ▸ AudioGen: text-to-sound model. ▸ EnCodec: high fidelity neural audio codec. ▸ Multi Band Diffusion: An EnCodec compatible decoder using diffusion. This is going to tremendously speed up audio research 👏
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This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸ MusicGen: controllable text-to-music model. ▸ AudioGen: text-to-sound model. ▸ EnCodec: high fidelity neural audio codec. ▸ Multi Band Diffusion: An EnCodec compatible decoder using diffusion. This is going to tremendously speed up audio research 👏

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Today we're delighted to launch Audio Inpainting, an innovative feature that allows you to seamlessly edit and refine your audio tracks. With Audio Inpainting, you can select a portion of a track to re-generate based on the surrounding context. This makes it easy to edit single vocal lines, correct errors, or smooth over transitions, so you can create the perfect track. The interface is experimental, and will continue to be updated over the next few weeks. Inpainting is available for subscribers starting today (only on desktop). We're excited to see you make the best of it. 1/5
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Today we're delighted to launch Audio Inpainting, an innovative feature that allows you to seamlessly edit and refine your audio tracks. With Audio Inpainting, you can select a portion of a track to re-generate based on the surrounding context. This makes it easy to edit single vocal lines, correct errors, or smooth over transitions, so you can create the perfect track. The interface is experimental, and will continue to be updated over the next few weeks. Inpainting is available for subscribers starting today (only on desktop). We're excited to see you make the best of it. 1/5

udio

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Introducing Stable Audio 2.0 – a new model capable of producing high-quality, full tracks with coherent musical structure up to three minutes long at 44.1 kHz stereo from a single prompt. Explore the model and start creating for free at: Read the blogpost here: (1/3)

Stability AI

457,892 Aufrufe • vor 2 Jahren

This week’s Stability Seconds shows how you can quickly iterate across multiple musical directions with Stable Audio 2.5 ⏩ Starting with one short video clip, we applied three different prompts to shift the genre and mood of the video’s track in seconds: 1️⃣ Shoegaze synth: Dreamy and hazy 2️⃣ Ethereal classical: Airy and uplifting 3️⃣ Experimental drone: Textured and cinematic You can learn more and start using Stable Audio 2.5 here 👉
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This week’s Stability Seconds shows how you can quickly iterate across multiple musical directions with Stable Audio 2.5 ⏩ Starting with one short video clip, we applied three different prompts to shift the genre and mood of the video’s track in seconds: 1️⃣ Shoegaze synth: Dreamy and hazy 2️⃣ Ethereal classical: Airy and uplifting 3️⃣ Experimental drone: Textured and cinematic You can learn more and start using Stable Audio 2.5 here 👉

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15,747 Aufrufe • vor 10 Monaten

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.
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🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

AI at Meta

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Introducing Seedance 1.5 Pro 🔊 The first Seedance video model to generate audio and film-grade visuals together Create scenes with strong storytelling and emotional expression Plus, built-in sound effects, multilingual dialogue, and native lip-syncing Available now on Freepik
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Type a sentence, get any sound - from talking cats to singing saxophones. Brilliant release by NVIDIA ✨ NVIDIA just unveiled Fugatto, a groundbreaking 2.5B parameter audio AI model that can generate and transform any combination of music, voices, and sounds using text prompts and audio inputs Fugatto could ultimately allow developers and creators to bring sounds to life simply by inputting text prompts, → The model demonstrates unique capabilities like creating hybrid sounds (trumpet barking), changing accents/emotions in voices, and allowing fine-grained control over sound transitions - trained on millions of audio samples using 32 NVIDIA H100 GPUs 👨‍🔧 Architecture Built as a foundational generative transformer model leveraging NVIDIA's previous work in speech modeling and audio understanding. The training process involved creating a specialized blended dataset containing millions of audio samples → ComposableART's Innovation in Audio Control Introduces a novel technique allowing combination of instructions that were only seen separately during training. Users can blend different audio attributes and control their intensity → Temporal Interpolation Capabilities Enables generation of evolving soundscapes with precise control over transitions. Can create dynamic audio sequences like rainstorms fading into birdsong at dawn → Processes both text and audio inputs flexibly, enabling tasks like removing instruments from songs or modifying specific audio characteristics while preserving others → Shows capabilities beyond its training data, creating entirely new sound combinations through interaction between different trained abilities 🔍 Real-world Applications → Allows rapid prototyping of musical ideas, style experimentation, and real-time sound creation during studio sessions → Enables dynamic audio asset generation matching gameplay situations, reducing pre-recorded audio requirements → Can modify voice characteristics for language learning applications, allowing content delivery in familiar voices NVIDIA AI Developer

Rohan Paul

96,354 Aufrufe • vor 1 Jahr

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.
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Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

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Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀 This tool empowers creators in video production, filmmaking, and game development to generate professional-grade audio that precisely aligns with visual dynamics and semantic context, addressing key challenges in V2A generation.🔊 Key Innovations: 🔹Exceptional Generalization: Trained on a massive 100k-hour multimodal dataset, the model generates contextually-aware soundscapes for a wide range of scenes, from natural landscapes to animated shorts. 🔹Balanced Multimodal Response: Our innovative multimodal diffusion transformer (MMDiT) architecture ensures the model balances video and text cues, generating rich, layered sound effects that capture every detail—from the main subject to subtle background elements. 🔹High-Fidelity Audio: Using a Representation Alignment (REPA) loss function and a powerful Audio VAE, we've improved generation stability and producing professional-grade audio, free of noise and inconsistencies. HunyuanVideo-Foley achieves SOTA on multiple benchmarks, surpassing all open-source models in audio quality, visual-semantic alignment, and temporal alignment. 👉Try it now: 🌐Project Page: 🔗Code: 📄Technical Report: 🤗Hugging Face:
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Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀 This tool empowers creators in video production, filmmaking, and game development to generate professional-grade audio that precisely aligns with visual dynamics and semantic context, addressing key challenges in V2A generation.🔊 Key Innovations: 🔹Exceptional Generalization: Trained on a massive 100k-hour multimodal dataset, the model generates contextually-aware soundscapes for a wide range of scenes, from natural landscapes to animated shorts. 🔹Balanced Multimodal Response: Our innovative multimodal diffusion transformer (MMDiT) architecture ensures the model balances video and text cues, generating rich, layered sound effects that capture every detail—from the main subject to subtle background elements. 🔹High-Fidelity Audio: Using a Representation Alignment (REPA) loss function and a powerful Audio VAE, we've improved generation stability and producing professional-grade audio, free of noise and inconsistencies. HunyuanVideo-Foley achieves SOTA on multiple benchmarks, surpassing all open-source models in audio quality, visual-semantic alignment, and temporal alignment. 👉Try it now: 🌐Project Page: 🔗Code: 📄Technical Report: 🤗Hugging Face:

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Today we're launching Mirelo SFX 1.6 - our first model that lets you edit sound, not just generate it. It's a meaningful first step toward full iterative sound editing. We're excited to share with you: Long Generations: generate up to 60 seconds of audio from video. Extender: extend any sound with seamless, natural tails or intros. Ambiancer: generate soundscapes that naturally end where they begin. Inpainter: clean a sound clip by replacing unwanted sounds. Read more in our blogpost in comments. SOUND ON.

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Text to Sound Effects is here. Our newest AI Audio model generates sound effects, short instrumental tracks, soundscapes, and a wide variety of character voices, all from a text prompt. Available now for all users. Everyone from content creators, video game developers, to film and television studios, uses sound effects to create rich and immersive content. Now, in addition to AI voiceovers, you can generate all of the sounds you need with just a prompt. Everything you hear in this video was generated by ElevenLabs sound and voice models. In this thread, we shared some additional clips that help show off the range of this new model.

ElevenLabs

450,763 Aufrufe • vor 2 Jahren

I’ve been testing MiniMax H3 on Magnific, and this one feels built for serious AI video work. It can combine text, images, video, and audio in the same prompt, then generate up to 15s video in 2K with native synced sound. Not a silent video with audio added later. Voice, music, effects, motion, and visuals are created together.
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I’ve been testing MiniMax H3 on Magnific, and this one feels built for serious AI video work. It can combine text, images, video, and audio in the same prompt, then generate up to 15s video in 2K with native synced sound. Not a silent video with audio added later. Voice, music, effects, motion, and visuals are created together.

Dhaval Makwana

49,009 Aufrufe • vor 4 Tagen

Audio Transcription with Google Gemini 1.5 Flash In this video, Gemini-Flash was able to transcribe 13 minutes of audio in 50-60 seconds. I have tested this with multiple audio files, and the transcription accuracy is close to 99%. If the audio is clear, you get 100% correct transcription. Even if the audio is really bad with a lot of noise, you still get around 95-96% accuracy. The code for this is available on GitHub. If you're interested, you can download and run it. You just need a Google API key.
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Audio Transcription with Google Gemini 1.5 Flash In this video, Gemini-Flash was able to transcribe 13 minutes of audio in 50-60 seconds. I have tested this with multiple audio files, and the transcription accuracy is close to 99%. If the audio is clear, you get 100% correct transcription. Even if the audio is really bad with a lot of noise, you still get around 95-96% accuracy. The code for this is available on GitHub. If you're interested, you can download and run it. You just need a Google API key.

AshutoshShrivastava

122,990 Aufrufe • vor 1 Jahr

Can AI truly edit audio, not just generate it? 🎧 Tencent Hy, in collaboration with SJTU, SII, NTU, TJU, ZODA, PKU, FDU, and other collaborators, introduces MMAE. MMAE--A Massive Multitask Audio Editing Benchmark, is the first comprehensive evaluation benchmark for speech and audio "Banana🍌" Instead of simply requiring the AI to "generate" audio, it demands that the AI understand an existing audio clip and precisely modify it according to natural language instructions—altering what needs to be changed while leaving the rest untouched. Current models show an Exact Match Rate (EMR) below 5%, revealing a major gap in reliable audio editing. MMAE includes: ✅ 2,000 high-fidelity samples from real-world scenarios ✅ 17,741 fine-grained rubric evaluation items ✅ 7 modality settings across sound, music, speech and their mixtures ✅ 6 task complexity from basic modifications to multi-hop reasoning and multi-round editing ✅ 8 operation types across local and global granularities How to use: arXiv: GitHub: HuggingFace: Demo:
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Can AI truly edit audio, not just generate it? 🎧 Tencent Hy, in collaboration with SJTU, SII, NTU, TJU, ZODA, PKU, FDU, and other collaborators, introduces MMAE. MMAE--A Massive Multitask Audio Editing Benchmark, is the first comprehensive evaluation benchmark for speech and audio "Banana🍌" Instead of simply requiring the AI to "generate" audio, it demands that the AI understand an existing audio clip and precisely modify it according to natural language instructions—altering what needs to be changed while leaving the rest untouched. Current models show an Exact Match Rate (EMR) below 5%, revealing a major gap in reliable audio editing. MMAE includes: ✅ 2,000 high-fidelity samples from real-world scenarios ✅ 17,741 fine-grained rubric evaluation items ✅ 7 modality settings across sound, music, speech and their mixtures ✅ 6 task complexity from basic modifications to multi-hop reasoning and multi-round editing ✅ 8 operation types across local and global granularities How to use: arXiv: GitHub: HuggingFace: Demo:

Tencent Hy

21,287 Aufrufe • vor 2 Monaten

Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations
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Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations

Google AI

1,093,641 Aufrufe • vor 8 Monaten

The reception since we launched the first unified audio + text + image to video model in production last week has been incredible! We wanted to take a moment and highlight some firsts: - the first omnimodal modal that jointly operates over text, image, and audio. Fun fact: we shipped our first audio-to-video model Character-1 last June! - Character-3 is generating 5 minute uncut clips, and capable of temporally stable longform prediction. - Character-3 handles realistic humans, cartoons, side profiles, dynamic backgrounds, anime, animals, and more. - Character-3 sets a new standard for fast & efficient video diffusion at HD and SD resolutions, leveraging our advancements in realtime video generation. We'll have an announcement soon, but you can read more about an earlier version of this line of work in our paper here:
0:55

The reception since we launched the first unified audio + text + image to video model in production last week has been incredible! We wanted to take a moment and highlight some firsts: - the first omnimodal modal that jointly operates over text, image, and audio. Fun fact: we shipped our first audio-to-video model Character-1 last June! - Character-3 is generating 5 minute uncut clips, and capable of temporally stable longform prediction. - Character-3 handles realistic humans, cartoons, side profiles, dynamic backgrounds, anime, animals, and more. - Character-3 sets a new standard for fast & efficient video diffusion at HD and SD resolutions, leveraging our advancements in realtime video generation. We'll have an announcement soon, but you can read more about an earlier version of this line of work in our paper here:

Hedra

180,676 Aufrufe • vor 1 Jahr

Meet Veo 3.1 👋 With Veo 3.1, you can generate videos with richer audio, better narrative control, and enhanced realism. This new update also comes with a suite of additional features built for creative control. Including the ability to: — Extend your videos to make them longer (with audio) — Set the first and last frame of your video to control your output (with audio) — Upload multiple ingredient images to craft your scene (with audio) — Add or remove objects directly in your video These features are available in Flow by Google, the Gemini API, and Google Cloud Vertex AI. Veo 3.1 is also available in the Google Gemini. We’re so excited to see what you create!
0:34

Meet Veo 3.1 👋 With Veo 3.1, you can generate videos with richer audio, better narrative control, and enhanced realism. This new update also comes with a suite of additional features built for creative control. Including the ability to: — Extend your videos to make them longer (with audio) — Set the first and last frame of your video to control your output (with audio) — Upload multiple ingredient images to craft your scene (with audio) — Add or remove objects directly in your video These features are available in Flow by Google, the Gemini API, and Google Cloud Vertex AI. Veo 3.1 is also available in the Google Gemini. We’re so excited to see what you create!

Google AI

71,238 Aufrufe • vor 10 Monaten