Emotion Recognition via Probability Integration
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Solution Overview
Problem
Current emotion recognition methods are limited by relying on single types of data, which affects accuracy and precision, especially when combining speech spectrum features and voiceprint features extracted from audio and text content.
Innovation Solution
A data processing method that performs emotion prediction on current information to obtain a current emotion direction and first probability, determines a second probability based on an emotion transition relationship from historical emotions, and integrates these probabilities to improve emotion recognition accuracy by considering diverse temporal and spatial data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct emotion recognition is performed on information using a single type of data, then the recognition process is simple and fast, but the accuracy of emotion recognition is affected
Solution Approach 1:
The patent combines multiple data types (speech spectrum features and voiceprint features) into a unified emotion recognition framework. The speech spectrum information processor extracts emotional features from audio signals, while the voiceprint information processor extracts speaker characteristics, and both are integrated to produce a comprehensive emotion recognition result, thereby improving accuracy through data fusion
Solution Approach 2:
The recognition system is divided into separate functional modules: a speech spectrum information processor for analyzing audio spectral characteristics, a voiceprint information processor for extracting speaker identity features, and an integrator that combines their outputs. This segmentation allows each module to specialize in specific feature extraction while maintaining overall system manageability
2Measurement precision
If multiple types of data are combined for emotion recognition, then the accuracy of emotion recognition is improved, but the complexity of the recognition process increases
Solution Approach 1:
The integrated information processor serves multiple functions: it receives and processes both speech spectrum data and voiceprint data, performs feature extraction from different data types, and generates emotion recognition results. This multi-functional design consolidates what would otherwise require separate processing systems, managing complexity through functional integration
Data Source
AI summary
A data processing method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product are provided for emotion recognition scenarios such as a cloud technology, artificial intelligence (AI), intelligent transportation, a game, and a vehicle. Data processing methods for emotion recognition includes: performing emotion prediction on information for recognition for a current round to obtain a current emotion direction and a first probability of each of a plurality of candidate emotions, the current emotion direction being a direction of an emotion of the information for recognition; determining a second probability corresponding to each candidate emotion from an emotion transition relationship based on the current emotion direction; integrating the first and second probabilities to obtain a target probability of the candidate emotion; and determining an emotion recognition result based on the target probability corresponding to each of the plurality of candidate emotions.