7 results about "Speech identification" patented technology

A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

The invention provides a voice interaction method. The method comprises receiving a first voice message; converting the first voice message into a first text message; searching a first result corresponding to the first text message according to the first text message; displaying the first result; receiving a second voice message; converting the second voice message into a second text message; comparing the first text message with the second text message to obtain a third text message; performing searching according to the third text message and based on the first result to obtain a second result; and displaying the second result. The invention further provides a voice interaction device. According to the voice interaction method and the device, a voice input this time is analyzed through a recognition result of the former time recognized combined with a user voice, factors of usage habits, external scenes and the like are combined to perform intelligent recognition, and the recognition result of the first time is screened, so that the recognition efficiency is accurate, and the user experience is improved.

The invention discloses a self-adaptive endpoint detection method and a self-adaptive endpoint detection system for isolate word speech recognition. The self-adaptive endpoint detection method for isolate word speech recognition comprises the following steps: a, a voice input step, wherein a voice signal containing an isolate word to be recognized is input; b, a voice preprocessing step, wherein the voice signal is subjected to amplitude translation and normalization and framing processing operation, and short time average energy and a short time average zero-crossing rate of each frame of voice are calculated; c, an isolate word endpoint rough detection step, wherein isolate word endpoints are roughly estimated through utilization of the short time average energy and the short time average zero-crossing rate of each frame of the voice signal and constraint on the shortest length of continuous voice frames before and after the end points, d, a detection threshold self-adaptive adjustment and accurate endpoint detection step, wherein through utilization of constraint on the smallest time duration and the largest time duration of the isolate word, the detection threshold is subjected to dynamic adjustment operation, the voice endpoints are subjected to front and back fine adjustment, and accurate isolate word endpoints are obtained; e, an isolate word endpoint output and isolate word voice recognition step, wherein the accurate isolate word endpoints are output and isolate word recognition is realized by using voice recognizing technologies.

The invention provides a human-computer interaction method and system based on a multi-modal historical response result. The human-computer interaction method based on the multi-modal historical response result includes the steps of receiving a voice instruction of a user; performing voice recognition on the voice instruction to obtain a plurality of response results; acquiring a plurality of pieces of input feature information, and calculating the joint probability of each various response result according to a probability model and the plurality of pieces of input feature information; and determining the response result having the largest joint probability to respond to the voice instruction, wherein the probability model is a stochastic mathematical model established on the basis of the historical response results, and wherein each joint probability is the product of the probabilities of the response result under the plurality of pieces of input feature information. The embodiment of the invention enriches the dimension of the feature information inputted in determining the response result, comprehensively considers the influence of various factors on the true intention of the user, improves the accuracy of the response result, and improves the user experience in the human-computer interaction process.

The embodiment of the invention discloses a speech recognition method, device, equipment and a medium. The method comprises steps: a speech request is acquired; the speech request is subjected to speech recognition based on a speech recognition system which is well trained in advance, and the intent information corresponding to the speech request is obtained, wherein the speech recognition systemwhich is well trained in advance is obtained through real-time training on training metadata which are acquired in real time. Through adopting the above speech recognition method, the speech recognition accuracy can be improved.