Abstract: This disclosure describes a system that converts an audio object (e.g., an audio book, a podcast, a videoconference meeting) to text with SSML tags so that any future text-to-speech conversion enables speech synthesis to sound more human-like. The system analyzes the audio object to identify speech output characteristics for different tokens. Variations in speech output characteristics can distinguish between an utterance spoken by one character and an utterance spoken by another character. The system assigns the tokens to the characters and compares a speech output characteristic for a token to a baseline speech output characteristic associated with an identified character. Next, the system determines an amount of deviation between the speech output characteristic for the token and the baseline speech output characteristic. The system uses this deviation to determine a relative speech output characteristic value, which is to be included in an SSML tag for a token.

Abstract: Systems and methods for dynamically relocating pods to optimize inter-pod networking efficiency are provided. The method comprises receiving and storing inter-pod traffic data for a plurality of pods. The plurality of pods includes a first pod, a second pod, and a third pod. The method further includes receiving and storing node resource availability data for each node of a plurality of nodes, generating a queue that sorts the plurality of pods by an amount of inter-pod traffic indicated by the inter-pod traffic data, generating a hash that maps one or more parameters to the plurality of nodes, selecting, based on the generated hash, a node of the plurality of nodes, and dynamically relocating a highest ranked pod of the plurality of pods from the generated queue to the selected node.

Abstract: This disclosure describes a system that analyzes a corpus of text (e.g., a financial article, an audio book, etc.) so that the context surrounding the text is fully understood. For instance, the context may be an environment described by the text, or an environment in which the text occurs. Based on the analysis, the system can determine sentiment, part of speech, entities, and/or human characters at the token level of the text, and automatically generate Speech Synthesis Markup Language (SSML) tags based on this information. The SSML tags can be used by applications, services, and/or features that implement text-to-speech (TTS) conversion to improve the audio experience for end-users. Consequently, via the techniques described herein, more realistic and human-like speech synthesis can be efficiently implemented at larger scale (e.g., for audio books, for all the articles published to a news site, etc.).

Abstract: Systems and methods for dynamically relocating pods to optimize inter-pod networking efficiency are provided. The method comprises receiving and storing inter-pod traffic data for a plurality of pods. The plurality of pods includes a first pod, a second pod, and a third pod. The method further includes receiving and storing node resource availability data for each node of a plurality of nodes, generating a queue that sorts the plurality of pods by an amount of inter-pod traffic indicated by the inter-pod traffic data, generating a hash that maps one or more parameters to the plurality of nodes, selecting, based on the generated hash, a node of the plurality of nodes, and dynamically relocating a highest ranked pod of the plurality of pods from the generated queue to the selected node.

Abstract: A method and system of managing ringtones and alarms by intercepting device events, associating them with user events, smartphone sensor data and text search to intelligently alter the smartphone ringtones without user intervention. Conventionally, altering the ringtone of a smartphone is done through manual selection and is at most customizable with static selections like a different ringtone for text messages and a different for phone call. The present invention provides a control program along with associated data structures that implement intelligent and context sensitive ringtone selection decisions based on a combination of user data from their incoming text, email, alerts, phone calls and combining them with sensor data from the functions of sensory apparatus on smartphones, user generated functions and a rules set for establishing ringtone rules.

Abstract: A method and system of managing ringtones and alarms by intercepting device events, associating them with user events, smartphone sensor data and text search to intelligently alter the smartphone ringtones without user intervention. Conventionally, altering the ringtone of a smartphone is done through manual selection and is at most customizable with static selections like a different ringtone for text messages and a different for phone call. The present invention provides a control program along with associated data structures that implement intelligent and context sensitive ringtone selection decisions based on a combination of user data from their incoming text, email, alerts, phone calls and combining them with sensor data from the functions of sensory apparatus on smartphones, user generated functions and a rules set for establishing ringtone rules.