Abstract: Embodiments of the disclosure relate to selective voice transmission and include receiving an identification of one or more authorized speakers for a telephone call and retrieving a voice sample for each of the one or more authorized speakers. Embodiments also include receiving one or more audio signals for the telephone call and filtering the one or more audio signals by removing a portion of the one or more audio signals that do not contain a voice of at least one of the one or more authorized speakers in the one or more audio signals.

Abstract: Embodiments of the disclosure relate to selective voice transmission and include receiving an identification of one or more authorized speakers for a telephone call and retrieving a voice sample for each of the one or more authorized speakers. Embodiments also include receiving one or more audio signals for the telephone call and filtering the one or more audio signals by removing a portion of the one or more audio signals that do not contain a voice of at least one of the one or more authorized speakers in the one or more audio signals.

Abstract: Embodiments of the disclosure relate to selective voice transmission and include receiving an identification of one or more authorized speakers for a telephone call and retrieving a voice sample for each of the one or more authorized speakers. Embodiments also include receiving one or more audio signals for the telephone call and filtering the one or more audio signals by removing a portion of the one or more audio signals that do not contain a voice of at least one of the one or more authorized speakers in the one or more audio signals.

Abstract: Embodiments of the disclosure relate to selective voice transmission and include receiving an identification of one or more authorized speakers for a telephone call and retrieving a voice sample for each of the one or more authorized speakers. Embodiments also include receiving one or more audio signals for the telephone call and filtering the one or more audio signals by removing a portion of the one or more audio signals that do not contain a voice of at least one of the one or more authorized speakers in the one or more audio signals.

Abstract: A method for providing mood-based analytics for collaborative travel planning for a group containing one or more group member includes receiving a priority, a target happiness index, and mood-based input for each group member. A target group happiness index is calculated based on an aggregate of the target happiness indexes weighted by the priority for each group member. A current group happiness index is calculated based on an aggregate of the mood-based input weighted by the priority for each group member. The activity preferences for the group are determined based on the aggregate of the mood-based input weighted by the priority for each group member. External environmental data that influences the current group happiness and the activity preferences is collected. A group itinerary based on the current group happiness index, the activity preferences for the group, and the external environmental data is generated to meet the target group happiness index.