Analysis of conversational attributes with real time feedback

A device for providing real-time feedback of conversational attributes, the device comprising:

• a computing node configured to perform a method comprising:
• receiving an audio signal comprising speech;
• dividing the audio signal into a plurality of sequential windows;
• extracting a plurality of features from each sequential window of the audio signal;
• sequentially providing each plurality of features to a trained artificial neural network, in particular a convolutional neural network and receiving therefrom a speech attribute of the corresponding window of the audio signal, the speech attribute comprising a speaker type;
• after receiving each speech attribute, and based upon that speech attribute and speech attributes of prior windows, generating a conversational attribute, wherein the conversational attribute comprises a conversational turn count (CTC) based on a change in speech attribute among that speech attribute and speech attributes of prior windows;
• and
• providing a user-perceivable output indicative of the conversational attribute;
• and
• a microphone configured to produce the audio signal;
• a light, a speaker, or a vibration motor configured to produce the user-perceivable output.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

• receiving an audio signal comprising speech;
• dividing the audio signal into a plurality of sequential windows;
• extracting a plurality of features from each sequential window of the audio signal;
• sequentially providing each plurality of features to a trained artificial neural network in particular a convolutional neural network, and receiving therefrom a speech attribute of the corresponding window of the audio signal, the speech attribute comprising a speaker type;
• after receiving each speech attribute, and based upon that speech attribute and speech attributes of prior windows, generating a conversational attribute, wherein the conversational attribute comprises a conversational turn count (CTC) based on a change in speech attribute among that speech attribute and speech attributes of prior windows;
• and
• providing a user-perceivable output indicative of the conversational attribute.