11 Matching Annotations
  1. Jun 2023
    1. The variety of formats which OER resources are available in (.epub, .pdf, .html, and other formats, including future formats like audio and potentially video (.mp3, .mp4) are a form of accessibility.

    2. Is anyone placing OER materials into online channels which center piracy as a means of advertising or distribution?

      (Library Genesis, SciHub, Pirate Bay, et. al.)

    1. Technology is valuable and empowering, but at what end direct cost? Consumers don't have available data for the actual costs of the options they're choosing in many contexts.

      What if that reprocessing costs the equivalent of three glasses of waters? Is it worth it for our environment, especially when the direct costs to the "consumer" are hidden into advertising models.

      (via Brenna)

    2. OEG Live: Audiobook Versions of OER Textbooks (and AI Implications)

      Host: Alan Levine<br /> Panelists: Brian Barrick (LA Harbor College), Delmar Larsen, Brenna, Jonathan, Amanda Grey (KPU), Steel Wagstaff (Pressbooks).

      Find out more information and discuss this topic on OEG Connect: https://oeg.pub/439V1Bc

  2. google-research.github.io google-research.github.io
    1. SoundStorm

      We present SoundStorm, a model for efficient, non-autoregressive audio generation. SoundStorm receives as input the semantic tokens of AudioLM, and relies on bidirectional attention and confidence-based parallel decoding to generate the tokens of a neural audio codec. Compared to the autoregressive generation approach of AudioLM, our model produces audio of the same quality and with higher consistency in voice and acoustic conditions, while being two orders of magnitude faster. SoundStorm generates 30 seconds of audio in 0.5 seconds on a TPU-v4. We demonstrate the ability of our model to scale audio generation to longer sequences by synthesizing high-quality, natural dialogue segments, given a transcript annotated with speaker turns and a short prompt with the speakers' voices.