Disrupted-speech management engine for a meeting management system

One or more computer-storage media having computer-executable instructions embodied thereon that, when executed by a computing system having a processor and memory, cause the processor to:

• communicate, from a client device, meeting data of a meeting associated with a user, the meeting data comprising audio data and video data, wherein the meeting data is associated with a meeting management system for videoconferencing,
• wherein a disrupted-speech machine learning engine supports training one or more machine learning models based on a disrupted-speech machine learning training dataset comprising a disrupted-speech dataset associated with historical and contextual data of meetings,
• wherein the one or more machine learning models are utilized in performing disrupted-speech assistance operations,
• wherein the meeting management system and the one or more machine learning models support a disrupted-speech assistance service that is integrated into the meeting management system via a disrupted-speech management engine;
• based on communicating the meeting data, receive a disrupted-speech word based on the audio data and an alternative word for the disrupted-speech word, wherein disrupted-speech word and the alternative word for the disrupted-speech word are associated with one or more disrupted-speech assistance operations of the disrupted-speech management engine;
• and
• cause presentation of a disrupted-speech assistance interface based on the one or more disrupted-speech assistance operations, wherein the disrupted-speech assistance interface comprises the alternative word for the disrupted-speech word, wherein the disrupted-speech assistance interface supports generating an indication of user encouragement when a determination is made that user has overcome an instance of disrupted-speech, wherein the disrupted-speech assistance interface includes each of:
• a digital assistant interface comprising the disrupted-speech word and the alternative word;
• an indication to attendees of the meeting that the user is experiencing disrupted-speech;
• an indication of user encouragement;
• and a disrupted-speech timeline comprising one or more instances of disrupted speech, wherein an instance of disrupted speech is associated with a timestamp and a count of a number times the disrupted-speech word was repeated.

A computer-implemented method, comprising:

• accessing, at a disrupted-speech management engine, meeting data of a meeting associated with a user, the meeting data comprising audio data and video data, wherein the meeting data is associated with a meeting management system for videoconferencing,
• wherein a disrupted-speech machine learning engine supports training one or more machine learning models based on a disrupted-speech machine learning training dataset comprising a disrupted-speech dataset associated with historical and contextual data of meetings,
• wherein the one or more machine learning models are utilized in performing disrupted-speech assistance operations,
• wherein the meeting management system and the one or more machine learning model support a disrupted-speech assistance service that is integrated into the meeting management system via the disrupted-speech management engine;
• determining that the audio data comprises disrupted-speech at a threshold level of disrupted-speech;
• based on the audio data comprising disrupted-speech at the threshold level of disrupted-speech, execute one or more disrupted-speech assistance operations for the meeting, wherein the one or more disrupted-speech assistance operations comprises:
• identifying a disrupted-speech word based on the audio data;
• and;
• determining an alternative word for the disrupted-speech word;
• and causing generation of a disrupted-speech assistance interface based on the one or more disrupted-speech assistance operations, wherein the disrupted-speech assistance interface comprises the alternative word for the disrupted-speech word, wherein the disrupted-speech assistance interface supports generating an indication of user encouragement when a determination is made that user has overcome an instance of disrupted-speech, wherein the disrupted-speech assistance interface includes each of:
• a digital assistant interface comprising the disrupted-speech word and the alternative word;
• an indication to attendees of the meeting that the user is experiencing disrupted-speech;
• an indication of user encouragement;
• and a disrupted-speech timeline comprising one or more instances of disrupted speech, wherein an instance of disrupted speech is associated with a timestamp and a count of a number times the disrupted-speech word was repeated.