Abstract: A system, method and article of manufacture are provided for monitoring emotions in voice signals and providing feedback thereon. First, a voice signal is received representative of a component of a conversation between at least two subjects. Thereafter, an emotion associated with the voice signal is determined. Feedback then provided to a third party based on the determined emotion.

Abstract: A system, method and article of manufacture are provided for detecting nervousness in a voice in a business environment to help prevent fraud. First, voice signals are received from a person during a business event. The voice signals are analyzed during the business event to determine a level of nervousness of the person, which is then output before the business event is completed. A degree of certainty as to the level of nervousness of the person may be output to assist one searching for fraud in making a determination as to whether the person was speaking fraudulently. Optionally, the level of nervousness of the person may be output in real time. As another option, an alarm may be set off when the level of nervousness goes above a predetermined level.

Abstract: A system, method and article of manufacture are provided for managing voice messages based on emotion characteristics of the voice messages. First, a plurality of voice messages that are transferred over a telecommunication network are received. Thereafter, such voice messages are stored on a storage medium. An emotion associated with voice signals of the voice messages is then determined. The voice messages are organized based on the determined emotion. Access to the organized voice messages is then permitted.

Abstract: A database is provided. The database includes statistics of human associations of human voice parameters with emotions. A voice signal is received. At least one feature of this voice signal is extracted. This extracted voice feature is then compared to the voice parameters in the database. An emotion is selected from the database based on the comparison of the extracted voice feature to the voice parameters. Input from the user is received. This input includes a user-determined emotion. The user-determined emotion is compared with the emotion selected from the database. The selected emotion is output and a determination as to whether the user-determined emotion matches the emotion selected from the database is made. A prize is then awarded to the user if the user-determined emotion is determined to match the selected emotion from the database.

Abstract: A method and system for monitoring a conversation between a pair of speakers for detecting an emotion of at least one of the speakers is provided. First, a voice signal is received after which a particular feature is extracted from the voice signal. Next, an emotion associated with the voice signal is determined based on the extracted feature. The emotion is screened and feedback is provided only if the emotion is determined to be a negative emotion selected from the group of negative emotions consisting of anger, sadness, and fear. Such determined negative emotion is then outputted to a third party during the conversation.