Amazon Technologies, Inc.

Yun Suk Paik

Edward C Bueche

Brandon Scott Durham

Kintan Dilipkumar Brahmbhatt

Francois Mairesse

Rickesh Pal

Jonathan Barnett Feinstein

Daniel Paul Ryan

Tao Ye

Anmol Tiwari

Amaury Gutierrez Acosta

Dialog acts (e.g., questions) are selected for voice browsing by a model trained to identify a dialog act that is most likely to lead to a desired outcome. Upon receiving an invocation to begin a conversation, a score indicative of a level of confidence that the conversation will have a successful outcome is determined, and a dialog act is selected based on the score. Subsequently, at each turn of the conversation, the score is updated or a new score is calculated, and a dialog act is selected based on the updated or new score. Confidence scores are calculated based on input features that are determined based on the user who uttered the invocation or responses to dialog acts, as well as a context of the conversation, and provided to a linear model or a machine learning model as inputs.

Confidence scoring for selecting tones and text of voice browsing conversations

Approaches provide for using a voice communications device to control, refine, or otherwise manage the playback of media content in response to a spoken instruction. For example, the voice communications device can receive a request to refine and/or initiate the playback of media content, such as music, news, audio books, audio broadcasts, and other such content. Audio input data that includes the request can be received by the voice communications device and an application executing on the voice communications device or otherwise in communication with the voice communications device can analyze the audio input data to determine how to carry out the request. The application can determine whether there is an active play queue of media content configured to play using the voice communications device. In the situation where there is no media content being played using the voice communications device, the application can determine media content using information in the request. In the situation where there is an active play queue of media content, the information can be used to refine the play queue. Thereafter, the application can cause the media content associated with the active play queue to play using the voice-enable communications device.

Refining media playback

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San Mateo, CA, United States of America

Yun Suk Paik