End-of-speech detection for chatbot interactions

A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to:

• convert at least a portion of a speech message into converted text, wherein the speech message is provided by a user as part of a human-computer conversation;
• perform a contextual analysis on the converted text to determine whether the user is finished providing the speech message, wherein the contextual analysis comprises processing, using a first machine learning model instance, the converted text corresponding to the speech message and contextual text corresponding to one or more previous speech messages in the human-computer conversation;
• and
• generate, based at least in part on a result of the contextual analysis, a response to the speech message, wherein the response is generated by a second machine learning model instance.

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to convert at least a portion of a speech message into converted text, wherein the speech message is provided by a user as part of a human-computer conversation;
• to perform a contextual analysis on the converted text to determine whether the user is finished providing the speech message, wherein the contextual analysis comprises processing, using a first machine learning model instance, the converted text corresponding to the speech message and contextual text corresponding to one or more previous speech messages in the human-computer conversation;
• and
• to generate, based at least in part on a result of the contextual analysis, a response to the speech message, wherein the response is generated by a second machine learning model instance.