Koninklijke Philips Corporation N.V.

Pelletier Daniel

Srinivas Gutta

Larry James Eshelman

Hugo Strubbe

John G Milanski

The present invention is a telephone conversation quality enhancer using an emotional conversational analyzer for analyzing the conversation between a primary party and a secondary party. Its focus is on improving the nature of the conversation quality by first analyzing the nature and quality of the conversation, determining how the analysis fits into a set of conversation conditions, and then determining what conversational aids may be used to assist in the enhancement of the conversation. The apparatus includes a microprocessor which communicates with the first and second telephone units and a database which stores conversational conditions and conversational aids. A conversation analyzer in the microprocessor analyzes the conversation occurring between the first and second telephone units and provides an analysis of the conversation. The microprocessor then applies the conversational conditions to the conversation analysis to select conversational aids. The conversation analyzer includes; a word detection algorithm to detect speech parameters such as the time words need to be spoken, loudness, pitch, intonation, number, rate and distribution of words spoken by each party; a speech recognition algorithm which searches for emotional keywords, and a conversational analysis module. The word detection algorithm and speech recognition algorithm each provide an output to the conversation analysis module which provides an analysis of the conversation. The analysis of the conversation is applied to the conversational conditions to determine which conversational aids may be displayed on a means for review by the speaker to enhance the conversation.

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Cortlandt Manor, NY, United States of America

Pelletier Daniel