swirec_acoustic_adapt_root
Specifies the storage location of self-learning files. Controls sharing of models across the server, tenants, or applications.
Value |
A directory path on the local machine DEFAULT: (empty) By default, this parameter is not set:
|
How to set |
In the application's session xml in the <speechrecog> section of <sessionparameters>. |
Usage |
Occasionally used for systems that host applications for more than one tenant and application. By defining the location of self-learning files, you control the scope of learning across tenants and applications. |
Controls per-tenant adaptation. Tenant-adapted acoustic models are stored in the tenant data directory.
The recognizer stores all acoustic data beneath this location. This includes acoustic models and adaptation statistics files.
Tenant-based adaptation—By default, the system adapt models for all of a tenant’s applications.The definition in a session.xml looks like this:
<param name="swirec_acoustic_adapt_root">
<value> ${APP_DATA_DIR}/acoustic_adapt </value>
</param>
Server-based adaptation—To adapt models for all applications on a single Nuance recognition server, use $SWISRSDK as the root in the path. The definition in a session.xml looks like this:
<param name="swirec_acoustic_adapt_root">
<value> ${SWISRSDK}/acoustic_adapt </value>
</param>
Seldom needed. It’s also possible to adapt models for individual applications running on a single recognition server:
<param name="swirec_acoustic_adapt_root">
<value> ${SWISRSDK}/MyApp2/acoustic_adapt </value>
</param>
For an overview of adaptation, see Controlling the self-learning recognizer.
Related parameters: