Abstract: A method and system for enhancing pronunciation during a speech, the method including receiving audio data, the audio data including a speech, performing at least one of acoustic scoring and language scoring on the speech, determining a pronunciation score of one or more words of the speech based on the acoustic scoring and the language scoring, determining that the pronunciation score for the word does not satisfy a threshold score, responsive to determining that the pronunciation score does satisfy the threshold score, identifying the word as mispronounced, and responsive to identifying the word as mispronounced, outputting the word and the pronunciation score thereof.

Abstract: A computing apparatus comprises one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and program instructions stored on the one or more computer readable storage media. The program instructions, when executed by the one or more processors, direct the computing apparatus to at least generate an audio recording of speech, extract features from the audio recording indicative of vocal patterns in the speech, determine a register classification of the speech based at least on the features, and display an indication of the register classification in a user interface.

Abstract: An intelligent speech assistant receives information collected while a user is speaking. The information can comprise speech data, vision data, or both, where the speech data is from the user speaking and the vision data is of the user while speaking. The assistant evaluates the speech data against a script which can contain information that the user should speak, information that the user should not speak, or both. The assistant collects instances where the user utters phrases that match the script or instances where the user utters phrases that do not match the script, depending on whether phases should or should not be spoken. The assistant evaluates vision data to identify gestures, facial expressions, and/or emotions of the user. Instances where the gestures, facial expressions, and/or emotions are not appropriate to the context are flagged. Real-time prompts and/or a summary is presented to the user as feedback.

Abstract: An intelligent speech assistant receives information collected while a user is speaking. The information can comprise speech data, vision data, or both, where the speech data is from the user speaking and the vision data is of the user while speaking. The assistant evaluates the speech data against a script which can contain information that the user should speak, information that the user should not speak, or both. The assistant collects instances where the user utters phrases that match the script or instances where the user utters phrases that do not match the script, depending on whether phases should or should not be spoken. The assistant evaluates vision data to identify gestures, facial expressions, and/or emotions of the user. Instances where the gestures, facial expressions, and/or emotions are not appropriate to the context are flagged. Real-time prompts and/or a summary is presented to the user as feedback.

Abstract: A system and method for personalizing a display of a recommendation in a user interface element of an application is described. The system accesses application activities of a user of the application. A user preference is formed based on the application activities. The system identifies a context of a current activity of the application and generates a content recommendation in the application based on the context of the current activity of the application and the user preference.

Abstract: A method and system for speech rehearsal assistant during a presentation rehearsal includes receiving audio data from a speech rehearsal session over a network, receiving a transcript for the audio data, the transcript including a plurality of words spoken during the speech rehearsal session, calculating a real time speaking rate for the speech rehearsal session, determining if the speaking rate is within a threshold range, detecting utterance of a filler phrase or sound during the speech rehearsal session using at least in part a machine learning model trained for identifying filler phrases and sounds in a text, and upon determining the speaking rate falls outside the threshold range or detecting the utterance of the filler phrase or sound, enabling real time display of a notification on a display device.