Pre-Grant Publication Number: 20100268534
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Prior Art Detail
Summary / Description
| Summary / Description | Teaches having multiple users, each with their own transcription stream, which is then merged together using an already existing product called ViaScribe and RealTimeMerge (RTM). |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | Universal Access in Human-Computer Interaction: Applications and Services |
| Author | Mike Wald, Keith Bain |
| ISBN | 978-3-540-73282-2 |
| Page Range | 446-452 |
| Medium | Journal article |
| Publication Date * | January 1, 2007 |
| URL | http://eprints.ecs.soton.ac.uk/... |
Notes / To Do
| Notes | |
Excerpt
Excerpt In situations where there is more than one person speaking, using multiple instances
of ViaScribe creates captions in multiple windows making it difficult to follow the
sequence of the utterances. To produce a transcript of the session with speakers
identified, the application RealTimeMerge (RTM) was developed to add the speaker’s
name to the text captions and merge the streams from the instances of ViaScribe.
Each speaker and instance of ViaScribe can have a separate editor and the edited
outputs merged or the unedited outputs of ViaScribe can be edited. The combination
of ViaScribe, ViaScribe server, PDC, RTE, and RTM enables a very flexible
approach to be adopted that can provide solutions to many requirements. Figures 1-7
show how the recognised text from four speakers using four instances of Viascribe
can be output via the server and merged with the speaker’s names added and then
edited for errors before the corrected transcript is displayed on one or more clients. |
Relevance
Claims
1
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See section 5 on "Multiple Speaker Transcriptions"
See section 5 on "Multiple Speaker Transcriptions"
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2
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Figure 8 shows ViaScribe operating on separate computers / servers, each of which could be independently trained with their own identity data.
Figure 8 shows ViaScribe operating on separate computers / servers, each of which could be independently trained with their own identity data.
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3
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Potential sources for the original speech is cited as including "microphone... telephone, internet, [and] television."
Potential sources for the original speech is cited as including "microphone... telephone, internet, [and] television."
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4
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See figure 5, 6, and 7.
See figure 5, 6, and 7.
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5
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Per the description above figure 8, "The unedited outputs of ViaScribe can be merged and then edited as shown in figure 8 or if preferred, each instance of ViaScribe can have its output edited using RTE and then all the edited RTE outputs can be merged."
Per the description above figure 8, "The unedited outputs of ViaScribe can be merged and then edited as shown in figure 8 or if preferred, each instance of ViaScribe can have its output edited using RTE and then all the edited RTE outputs can be merged."
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6
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Per the description above figure 8, "The unedited outputs of ViaScribe can be merged and then edited as shown in figure 8 or if preferred, each instance of ViaScribe can have its output edited using RTE and then all the edited RTE outputs can be merged."
Per the description above figure 8, "The unedited outputs of ViaScribe can be merged and then edited as shown in figure 8 or if preferred, each instance of ViaScribe can have its output edited using RTE and then all the edited RTE outputs can be merged."
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9
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Potential sources for the original speech is cited as including "microphone... telephone, internet, [and] television." Per section 5, speech for individual users is transcribed independently and then merged.
Potential sources for the original speech is cited as including "microphone... telephone, internet, [and] television." Per section 5, speech for individual users is transcribed independently and then merged.
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15
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See figure 8.
See figure 8.
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16
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See figure 5, 6, and 7.
See figure 5, 6, and 7.
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18
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See section 5.
See section 5.
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19
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See figure 8.
See figure 8.
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