Pushing the Frontiers of Audio Generation
Google DeepMind has advanced audio generation technology, enabling natural digital interactions and long-form dialogues. Their latest model improves efficiency and quality while emphasizing responsible AI development and future integration with other media.
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Google DeepMind has made significant advancements in audio generation technology, enhancing the naturalness and interactivity of digital assistants and AI tools. Their research focuses on creating high-quality, dynamic speech from various inputs, which is integrated into products like Gemini Live and YouTube's auto dubbing. Recent innovations include features that generate long-form, multi-speaker dialogues, such as NotebookLM Audio Overviews and Illuminate, which aim to make complex content more accessible. The technology builds on previous models like SoundStorm and AudioLM, which utilize neural audio codecs and language modeling techniques to produce realistic audio. The latest model can generate two minutes of dialogue in under three seconds, significantly improving efficiency and quality. This model was trained on extensive speech data and fine-tuned with high-quality dialogue to ensure realistic exchanges. DeepMind is also committed to responsible AI development, incorporating watermarking technology to prevent misuse of AI-generated audio. Future goals include enhancing expressivity and exploring the integration of audio with other modalities like video, with the potential to transform learning experiences and accessibility.
- Google DeepMind has advanced audio generation technologies for more natural digital interactions.
- New features allow for the generation of long-form, multi-speaker dialogues to enhance content accessibility.
- The latest model can produce high-quality dialogue quickly, improving efficiency in audio generation.
- DeepMind emphasizes responsible AI development, including measures to prevent misuse of generated content.
- Future developments aim to enhance expressivity and integrate audio with other media formats.
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15 commentsWe've all been on those webinars where it's clear -- despite the infusions (on cue) of "enthusiasm" from the speaker attempting to make it sound more natural and off-the-cuff -- that they are reading from a script.
It's a difficult-to-mask phenomenon for humans.
That all said, I actually have more grace for an AI sounding like this than I do for a human presenter reading from a script. Like, if I'm here "live" and paying attention to what you're saying, at least do me the service of truly being "here" with me and authentically communicating vs. simply reading something.
If you're going to simply read something, then just send it to me to read too - don't pretend it's a spontaneously synchronous communication.
Is this related to LLM, or is this a completely different branch of AI, and is it just a coincidence? I am curious.
I often would like to listen to a blog post instead of reading it, but haven't found an easy, quick solution yet.
I tried piping text through OpenAI's tts-1-hd, model and it is the first one I ever found that is human like enough for me to like listening to it. So I could write a tool for my own usecase that pipes the text to tts-1-hd and plays the audio. But maybe there is already something with a public web interface out there?
frontier garbage.
Astounding
On the bright side, you can stop watching these channels and have more time for serious things.
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