Remove Amazon Remove Audio Remove Government Remove Sound
article thumbnail

What Do Successful Associations Have in Common? What We’re Learning from the Associations Thrive Podcast

The MatrixFiles

The podcast is available on Apple, Google, Spotify, Amazon Music and Stitcher (you have no reason not to listen!). This sounds so unbelievably obvious, but it makes sense. And if your organization has added member services, updated its governance, or launched new services and are seeing great results, I want to hear your story!

article thumbnail

What Do Successful Associations Have in Common? What We’re Learning from the Associations Thrive Podcast

The MatrixFiles

The podcast is available on Apple, Google, Spotify, Amazon Music and Stitcher (you have no reason not to listen!). This sounds so unbelievably obvious, but it makes sense. And if your organization has added member services, updated its governance, or launched new services and are seeing great results, I want to hear your story!

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Fascinating Meeting at the Copyright Office

Beneblog: Technology Meets Society

We discussed Chafee, especially in the context of the Amazon text-to-speech brouhaha, and the proposed international treaty that was tabled at the WIPO SCCR meeting in Geneva last month. I actually think they’re getting less by stopping people from buying ebooks who are unlikely to buy audio books at higher prices. copyright law.

Copyright 104
article thumbnail

[VIDEO] Using WhatsApp to Increase Engagement with Multicultural Communities

Bloomerang

And another great thing about WhatsApp that not other messaging apps have is that you can share audios. Audios, files. So in Spanish, it’s with a J so it would sound an English jajaja, but in English, it’s with an H, but the H in Spanish is silent. So this is me in the Amazon. So that doesn’t work.

article thumbnail

Grave Work

Non Profit Quarterly

When transcoding audio of voices, the worker knows they are putting into writing the words of a speaker with an Irish accent. At first glance, it’s not entirely obvious what Amazon gets out of the platform. But there is no sense of what this recording actually is (e.g., data for a chatbot algorithm) or how it will be used (e.g.,

Work 68