Abstract: A medical appliance for the treatment of one or more sleep disorders such as obstructive sleep apnea in a patient, the appliance comprising: a biasing member for inserting behind and exerting a force upon the patient's soft palate or tongue, wherein the biasing member is inserted in a reduced or minimized form and then expanded or firms once in place to exert the force. The appliance may be nasally inserted or be placed through the mouth. In a particular configuration, both the soft palate and tongue are biased to prevent obstruction of the flow of air in the nasopharyngeal airway.

Abstract: Systems, methods, and software products provide increased trust in authentication of a user to an authentication server when a trusted witness client device witnesses the authentication of the user on the user's root client device. Both the root and the witness client devices cooperate to present the user with an interactive task during the authentications and each client device independently captures movement of the user performing the interactive task, during which, the user is authenticated to the root client device. An increased level of trust in the authentication of the user is achieved by the authentication server when the captured movements match expected movements of the user performing the interactive task and the authentication server has proof that the witness client devices witnessed a successful authentication.

Abstract: According to an embodiment, a device for tightening an article includes a housing, a spool rotatably positioned within the housing, a knob operably coupled with the spool to cause the spool to rotate within the housing, and a stop mechanism. The device is configured so that incremental rotation of the knob in a first direction causes a corresponding incremental rotation of the spool within the housing that incrementally tensions a tension member and thereby tightens the article. The device is also configured so that incremental rotation of the knob in a second direction causes a corresponding incremental rotation of the spool that incrementally loosens the tension member's tension. The stop mechanism is configured to prevent rotation of the spool in the second direction when the tension member's tension achieves or falls below a tension threshold.

Abstract: A content server uses a form of artificial intelligence such as machine learning to identify audio content with musicological characteristics. The content server obtains an indication of a music item presented by a client device and obtains reference music features describing musicological characteristics of the music item. The content server identifies candidate audio content associated with candidate music features. The candidate music features are determined by analyzing acoustic features of the candidate audio content and mapping the acoustic features to music features according to a music feature model. Acoustic features quantify low-level properties of the candidate audio content. One of the candidate audio content items is selected according to comparisons between the candidate music features of the candidate audio advertisements and the reference music features of the music item. The selected audio content is provided the client device for presentation.

Abstract: A content server provides a client device with audio content including an audio advertisement, which is provided in response to receiving a request for digital audio content from a client device associated with a user. The content server obtains user information about the user and retrieves advertisement text received from an advertiser, which are used to generate a personalized text advertisement. The personalized text advertisement is generated according to an advertisement template specifying an ordered combination of text components. The personalized text advertisement includes the received advertisement text, user information text selected from the obtained user information, and template text. The client device is provided with an advertisement based on the personalized text advertisement and is configured to play an audio version of the personalized text advertisement. The audio advertisement is generated using a text-to-speech algorithm at the client device or at the content server.

Abstract: A content server system provides a client device with content including an audio advertisement with personalized background music. The content server selects a vocal advertisement received from an advertiser for presentation to a user of a client device. The content server obtains content data describing audio content provided to the client device as part of the stream of audio content. The content server obtains content data describing audio content provided to the client device as part of the stream of audio content. The content server identifies candidate background music items and selects background music from the candidate background music items based on the obtained content data. The client device is provided with the selected background music and the selected vocal advertisement. The client device plays an audio advertisement comprising the background music played concurrently with the vocal advertisement.

Abstract: A content server provides a client device with audio content including an audio advertisement, which is provided in response to receiving a request for digital audio content from a client device associated with a user. The content server obtains user information about the user and retrieves advertisement text received from an advertiser, which are used to generate a personalized text advertisement. The personalized text advertisement is generated according to an advertisement template specifying an ordered combination of text components. The personalized text advertisement includes the received advertisement text, user information text selected from the obtained user information, and template text. The client device is provided with an advertisement based on the personalized text advertisement and is configured to play an audio version of the personalized text advertisement. The audio advertisement is generated using a text-to-speech algorithm at the client device or at the content server.

Abstract: A content server provides a client device with audio content including an audio advertisement, which is provided in response to receiving a request for digital audio content from a client device associated with a user. The content server obtains user information about the user and retrieves advertisement text received from an advertiser, which are used to generate a personalized text advertisement. The personalized text advertisement is generated according to an advertisement template specifying an ordered combination of text components. The personalized text advertisement includes the received advertisement text, user information text selected from the obtained user information, and template text. The client device is provided with an advertisement based on the personalized text advertisement and is configured to play an audio version of the personalized text advertisement. The audio advertisement is generated using a text-to-speech algorithm at the client device or at the content server.

Abstract: A content server uses a form of artificial intelligence such as machine learning to identify audio content with musicological characteristics. The content server obtains an indication of a music item presented by a client device and obtains reference music features describing musicological characteristics of the music item. The content server identifies candidate audio content associated with candidate music features. The candidate music features are determined by analyzing acoustic features of the candidate audio content and mapping the acoustic features to music features according to a music feature model. Acoustic features quantify low-level properties of the candidate audio content. One of the candidate audio content items is selected according to comparisons between the candidate music features of the candidate audio advertisements and the reference music features of the music item. The selected audio content is provided the client device for presentation.

Abstract: A content server provides a client device with audio content including an audio advertisement, which is provided in response to receiving a request for digital audio content from a client device associated with a user. The content server obtains user information about the user and retrieves advertisement text received from an advertiser, which are used to generate a personalized text advertisement. The personalized text advertisement is generated according to an advertisement template specifying an ordered combination of text components. The personalized text advertisement includes the received advertisement text, user information text selected from the obtained user information, and template text. The client device is provided with an advertisement based on the personalized text advertisement and is configured to play an audio version of the personalized text advertisement. The audio advertisement is generated using a text-to-speech algorithm at the client device or at the content server.

Abstract: A content server system provides a client device with content including an audio advertisement with personalized background music. The content server selects a vocal advertisement received from an advertiser for presentation to a user of a client device. The content server obtains content data describing audio content provided to the client device as part of the stream of audio content. The content server obtains content data describing audio content provided to the client device as part of the stream of audio content. The content server identifies candidate background music items and selects background music from the candidate background music items based on the obtained content data. The client device is provided with the selected background music and the selected vocal advertisement. The client device plays an audio advertisement comprising the background music played concurrently with the vocal advertisement.