The audio notebook

Stifelman, Lisa; Arons, Barry; Schmandt, Chris

doi:10.1145/365024.365096

Cited by 102 publications

(13 citation statements)

References 13 publications

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“…Audio d-touch [3], for example, used fiducial markers to create a simple tangible audio interface, where the positions of markers under a camera were reflected in the sounds that were played. The Audio Notebook [30] was a custom hardware tablet that allowed users to take paper notes and record audio simultaneously, then skim-review later, referencing the correct recording position from the notes. Erol et al [5] took a similar approach to synchronising a slideshow presentation with notes made on a handout -barcodes on the printout automatically linked notes with the correct positions in a later video of the talk.…”

Section: Annotating With Audiomentioning

confidence: 99%

PaperChains

Pearson

Robinson

Jones

2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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In this paper we present a novel interface for collaborative creation of evolving audio-visual documents. PaperChains allows users to sketch on paper and then augment with digital audio, allowing both the physical and digital objects to evolve simultaneously over time. The technique we have developed focuses on affordability and accessibility in its design, using standard cameraphones and telephone connections, which allow it to be used in regions where literacy, technological experience and data connections cannot necessarily be taken for granted. The main use-case that we focus on in this paper is for collaborative storytelling, an area which has been well studied and previously proven to be of value in resource constrained environments. To investigate the relevance of the approach in these contexts, we undertook two usability evaluations in India and South Africa. Results from these investigations indicate users' ability to both create and interpret stories using the software, as well as demonstrating high overall usability and enjoyment. We end with a discussion of the implications of our design and opportunities for use in other contexts.

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Section: Annotating With Audiomentioning

confidence: 99%

PaperChains

Pearson

Robinson

Jones

2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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“…More advanced and expensive audio/paper devices such as the Audio Notebook [17] and the Pulse SmartPen [18] record audio as the user writes in a notebook. Tapping on a word plays the audio that was recorded when the word was written.…”

Section: B Devices Similar To Featherweight Multimediamentioning

confidence: 99%

Featherweight multimedia for information dissemination

Chu¹,

Satpathy²,

Toyama³

et al. 2009

2009 International Conference on Information and Communication Technologies and Development (ICTD)

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Abstract-Featherweight multimedia devices combine audio with non-electronic visual displays (e.g., paper). Because of their low cost, customizability, durability, storage capacity, and energy efficiency, they are well-suited for education and information dissemination among illiterate and semi-literate people. We present a taxonomy of featherweight multimedia devices and also derive design recommendations from our experiences deploying featherweight multimedia in the agriculture and health domains in India. We found that with some initial guidance, illiterate users can quickly learn to use and enjoy the device, especially if they are taught by peers. . While these initiatives and other factors such as increased penetration of mobile phones will undoubtedly have tremendous impact in providing the global poor with better communication tools and access to information, the cost of these devices remain prohibitive to the 2 billion+ people worldwide who live on less than $2 per day.Beyond monetary cost, illiteracy remains a major hurdle. Conservative estimates of illiteracy suggest that there are over one billion illiterate people worldwide [4] for whom even a free, connected computer is useless given that some level of literacy and basic education is typically required to operate them; recent attempts at text-free interfaces [5] hold the promise of partial accessibility to computing by the illiterate, but still don't address the complexity of the device.While it is certainly worthwhile trying to grapple with the cost and literacy constraints of "full-fledged" technology for many applications, there are other applications that may only require a little bit of technology in order to add significant value. One such broad application area is the information dissemination that government and non-profit organizations do to improve the education and health of people. In these populations, traditional information dissemination methods

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“…The large bottom left area is a note-taking editor that supports note taking as text and as digital ink on a TabletPC-a less intrusive form of note taking suited for meetings and presentations. As suggested by Stifelman [19], notes are time-stamped and can serve an index into an audio recording at the time when the note was taken.…”

Section: Visual Audionotebook Prototype Appletmentioning

confidence: 99%

Vocabulary-independent indexing of spontaneous speech

Chen

et al. 2005

IEEE Trans. Speech Audio Process.

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We present a system for vocabulary-independent indexing of spontaneous speech, i.e., neither do we know the vocabulary of a speech recording nor can we predict which query terms for which a user is going to search. The technique can be applied to information retrieval, information extraction, and data mining. Our specific target is search in recorded conversations in the office/information-worker scenario-teleconferences, meetings, presentations, and voice mails.The focus of this paper is on how to index phonetic lattices. We will show that an index should provide expected term frequencies (ETFs) of query terms. Since, at indexing time, it is unknown which phoneme sequences constitute valid query terms, we will introduce an approximation of ETFs of a query's phoneme sequence by -gram phoneme language models, which are estimated on lattices and organized in an inverted index-like structure for fast access. We will discuss ranking, estimation, and integration of phoneme/word hybrid approaches. Compared with an unindexed baseline without approximation, our approximation leads only to a 3.4% relative loss of search accuracy on the Linguistic Data Consortium (LDC) voicemail task.We also propose a two-stage method for locating individual keyword occurences using the above method as a fast match. A 20-times speedup is achieved over unindexed search at under a 2-point accuracy loss.Last, we will briefly introduce a prototype applet based on the above techniques.

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The audio notebook

Cited by 102 publications

References 13 publications

PaperChains

PaperChains

Featherweight multimedia for information dissemination

Vocabulary-independent indexing of spontaneous speech

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