Techniques for interpreting spoken input using non-verbal cues

One or more non-transitory computer readable media including instructions that, when executed by one or more processors, cause the one or more processors to interpret spoken user input by performing the steps of:

• determining a first time marker associated with a first prediction that is generated based on a first type of non-verbal cue and a second time marker associated with a second prediction that is generated based on a second type of non-verbal cue;
• determining that the first time marker and the second time marker fall within a relevance time window associated with a base time marker for a first text input that has been derived from a first spoken input received from a user;
• upon determining that the first time marker and the second time marker fall within the relevance time window, generating a first predicted context based on a function of the first text input, the first prediction, the second prediction, a first weight indicating a relative contribution of the first text input to the first predicted context, a second weight indicating a relative contribution of the first prediction to the first predicted context, and a third weight indicating a relative contribution of the second prediction to the first predicted context;
• and
• transmitting the first text input and the first predicted context to at least one software application that subsequently performs one or more additional actions based on the first text input and the first predicted context.

A system, comprising:

• one or more memories storing instructions;
• and
• one or more processors that are coupled to the one or more memories and, when executing the instructions, are configured to:
• determine a first time marker associated with a first prediction that is generated based on a first type of non-verbal cue and a second time marker associated with a second prediction that is generated based on a second type of non-verbal cue;
• determine that the first time marker and the second time marker fall within a relevance time window associated with a base time marker for a first text input that has been derived from a first spoken input received from a user;
• upon determining that the first time marker and the second time marker fall within the relevance time window, generate a first predicted context based on a function of the first text input, the first prediction, the second prediction, a first weight indicating a relative contribution of the first text input to the first predicted context, a second weight indicating a relative contribution of the first prediction to the first predicted context, and a third weight indicating a relative contribution of the second prediction to the first predicted context;
• and
• transmit the first text input and the first predicted context to at least one software application that subsequently performs one or more additional actions based on the first text input and the first predicted context.