Text to Speech Usage
The Text-to-Speech Usage report shows the number of API requests for text to speech conversion over the selected period of time broken out by outcome. The report includes response codes, average number of characters in the input, average playback duration and total playback duration.
In addition to the use of report filters, Nuance Insights allows you to manipulate displayed data through several other means in order to better visualize information. Select from the following to learn more:
Note: This report is applicable only for clients using the Conversational AI channel.
| Column | Description |
|---|---|
| Web App | Web application |
| API | API command |
| Outcome | Result status indicator |
| Response code | Code returned in the command response. For a successful request the code is 200. Codes above 1000 are API error codes. |
| Total Requests | Total number of requests for this combination of dimensions |
| Average Input Text Chars | Average number of text characters in the input for this combination, calculated |
| Average Playback Duration | Average playback duration for this combination, calculated to the second |
| Playback Duration |
Total playback duration, the sum for this combination of dimensions |
Visualizations
The API / Outcome histogram graphically represents the number of requests for speech synthesis, grouped by outcome categories which are graphically represented in the histogram through color-coding. The Summary table immediately following the histogram is a 1:1 tabular representation of the same data, on a per outcome basis. The Details table at the bottom of the page draws from the same data set but groups the information by date stamp.
Mouse over any of the histogram bars to display a tool tip listing the underlying data for that particular response code.
Filters
Time Range
The Time Range slider allows you to narrow or expand the date range. The data displayed in all visualizations automatically reflect the subset of information falling within the selected range.
Tenant
By choosing one or more tenants from the list, you refine your displayed data-set by including data from only those tenants matching the selection. The visualizations automatically reflect the information complying with the tenant selection.
