[emcai] Podcasts generated using Google's NotebookLM

[Küttner]

I also immediately noticed the massive overuse of continuers, 
acknowledgments and other response tokens. But I will say, I just tried 
this thing with one of our papers, and it worked very smoothly there, 
generating quite a realistic experience. The "podcast" really captures 
the majority of the contents of the paper accurately and even offers 
comprehensible summary descriptions of what happens in the data 
fragments :-O


Quite fascinating, I must say! Thanks for sharing this, Roger.

Best,
Uwe



Am 02.10.2024 um 18:51 schrieb Magnus Hamann via emcai:
> Just a first noticing:
> There is definitely something with the sequential distribution of 
> "continuers" that is a little off.
> That said, this is definitely an interesting tool (thinking about 
> students with dyslexia here).
>
>
>
> Kind regards,
> Magnus Hamann
>
> Informal office hour every Monday, Tuesday (both online), or Thursday 
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> ------------------------------------------------------------------------
> *From:* emcai <emcai-bounces at conversationanalysis.org> on behalf of 
> Roger K Moore via emcai <emcai at conversationanalysis.org>
> *Sent:* 02 October 2024 16:54
> *To:* emcai at conversationanalysis.org <emcai at conversationanalysis.org>
> *Subject:* [emcai] Podcasts generated using Google's NotebookLM
>
> ** THIS MESSAGE ORIGINATED OUTSIDE LOUGHBOROUGH UNIVERSITY **
>
> ** Be wary of links or attachments, especially if the email is 
> unsolicited or you don't recognise the sender's email address. **
>
> Hi All,
>
> In case you are not aware, the latest AI development from Google 
> provides the ability to generate a podcast-style conversation between 
> two 'individuals' _automatically_ from an uploaded document (e.g. a 
> scientific paper)?  The results are astounding, both in terms of the 
> speech and the dialogue.
>
> Here are two examples I generated based on ...
>
>   * my recent VIHAR-24 paper on "What Needs to be Known in Order to
>     Perform a Meaningful Scientific Comparison Between Animal
>     Communications and Human Spoken Language
>     <https://drive.google.com/file/d/1n5ap5v2hu_ERl2mwewYNP_WzfQSwpw0T/view?usp=share_link>",
>     and
>   * the famous "Chicken Chicken Chicken
>     <https://drive.google.com/file/d/1TbrynC1VtJFMbIteWJEj1DAHURCcxDWr/view?usp=share_link>"
>     paper by Doug Zongker.
>
> I wonder how these AI-generated interactions stack-up from a CA 
> perspective?
>
> Best wishes
> Roger
>
> -------------------------------------------------------------------------------------------------
> Prof ROGER K MOORE* BA(Hons) MSc PhD FIOA FISCA MIET SMIEEE
>
> Deputy Head of School
> Chair of Spoken Language Processing
> Head of Speech & Hearing Research Group (SpandH)
> Vocal Interactivity Lab (VILab), Sheffield Robotics
> School of Computer Science, UNIVERSITY OF SHEFFIELD
> Regent Court, 211 Portobello, Sheffield, S1 4DP, UK
>
> * Winner of the 2016 Antonio Zampolli Prize for "/Outstanding 
> Contributions /
> /to the Advancement of Language Resources & Language Technology /
> /Evaluation within Human Language Technologies/"
>
> e-mail: r.k.moore at sheffield.ac.uk
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