Patent ID: 11875785
Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A non-transitory computer readable medium, wherein the readable medium comprises machine executable instructions that are executable by a processor to:
receive an audio sample comprising a plurality of audio signals indicative of voice conversation between a user and a bot;
convert the audio signals into quantifiable and machine-ingestible power spectrum indicators and acoustic indicators that uniquely represent the audio sample to create a feature vector;
determine likelihood of an attribute value representing the audio sample based on the power spectrum indicators and the acoustic indicators by generating a convolutional neural network model for each attribute category;
establish user persona attribute values across one or more attribute categories for the received audio sample based on the estimated likelihood;
generate textual transcript based on the audio sample; and
analyze the textual transcript using a hybrid deep learning engine that analyzes textual content in the textual transcript and evaluate interactions in the content to determine associated polarities coupled with latent intents, wherein the textual content in the transcript is analyzed to generate token vector representations that are fed into a bi-directional LSTM neural network to determine the associated polarities; and
wherein the user persona attribute values, associated polarities, latent intents, correspond to insights, and wherein the insights are fed back to at least one of an acoustic analytical record engine, an audio signal codification optimizer, and a textual latent value extractor.