[grc] Dissertation talk: Tools for Creating Audio Stories

[David Goodman]

I agree with Victoria. Computers and software are great tools. But there is
a "feel" one develops when editing and mixing that an algorithm cannot
replicate. It's part of the process in which the creator finds their own
voice. Sure it's messy... it's meant to be.  Similar to writing - people
fall in love with technology - but the writing is the most important thing
we do. (IMHO)

cheers,
dg

On Tue, Oct 6, 2015 at 8:04 AM, Victoria Estok <ve at victoriaestok.com> wrote:

> Thanks for passing this along. I will certainly be looking into this more.
> It may be a little premature to weigh in but as someone who teaches sound
> editing I couldn’t let this thread pass by without adding that much value
> comes from low level editing both for the beginner as well as the more
> experienced producer. Learning to listen and craft your own sound often
> results from this going through this process. You begin to hear what’s
> between the pauses, what’s in the hesitations, what you may have missed
> through casual listening. Bypassing this will result in a cost.  While more
> time devoted to storytelling is a certainly a compelling pitch... I would
> caution the idea of jumping on the algorithmic bandwagon if captivating
> sound or developing more of a unique structure style is also part of your
> storytelling approach.
>
> > On Oct 5, 2015, at 11:56 PM, Susan Davis <sue at worldsofadventure.org>
> wrote:
> >
> > The other bit of audio software that that research group did, which does
> sound underlays under speech, looks interesting, too.
> >
> > ________________________________________
> > From: grc-bounces at maillist.peak.org <grc-bounces at maillist.peak.org> on
> behalf of Brian Shiratsuki <settled at gmail.com>
> > Sent: Monday, October 5, 2015 10:18 PM
> > To: GRC
> > Subject: [grc] Dissertation talk: Tools for Creating Audio Stories
> >
> > [on the cutting edge? razor blades not mentioned. the talk at UC
> > berkeley computer sciences is likely inconvenient for most to attend,
> > but a non-interactive version appears to be available at
> > <http://vis.berkeley.edu/papers/audiostories/>]
> >
> > Title: Tools for Creating Audio Stories
> >
> > Speaker: Steve Rubin
> > Advisor: Maneesh Agrawala
> >
> > Date: Friday, October 9
> > Time: 4-5 pm
> > Room: 510 Soda Hall (Visual Computing Lab)
> >
> > Abstract
> > Audio stories are an engaging form of communication that combine
> > speech and music into compelling narratives. One common production
> > pipeline for creating audio stories involves three main steps:
> > recording speech, editing speech, and editing music. Existing audio
> > recording and editing tools force the story producer to manipulate
> > speech and music tracks via tedious, low-level waveform editing. In
> > contrast, we present tools for each phase of the production pipeline
> > that analyze the audio content of speech and music and thereby allow
> > the producer to work a higher semantic level.
> >
> > We present Narration Coach, an interface that assists novice users in
> > recording scripted narrations. As a user records her narration, our
> > system synchronizes the takes to her script, provides text feedback
> > about how well she is meeting the expert voiceover guidelines, and
> > resynthesizes her recordings to help her hear how she can speak
> > better. Next, we present a speech editing interface that addresses the
> > challenges of logging, navigating, and editing recorded speech. Key
> > features include a transcript-based speech editing tool that
> > automatically propagates edits in the transcript text to the
> > corresponding speech track, and tools that help the producer maintain
> > natural speech cadences by manipulating breaths and pauses. Finally,
> > we present an algorithmic framework based on music analysis and
> > dynamic programming optimization that enables several methods for
> > adding music to audio stories: looping, musical underlays, and
> > emotionally relevant scores. Combined, our tools augment the
> > traditional audio story production pipeline by allowing the producer
> > to create stories using high-level rather than low-level operations on
> > audio clips. Ultimately, we hope that our tools enable the producer to
> > devote more time to storytelling and less time to tedious audio
> > recording and editing.
> >
> >
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> >
> >
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>
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