Object Recognition Using Voiceprint and Position Data
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Solution Overview
Problem
In voiceprint recognition systems, distinguishing speakers with similar voiceprint features is challenging, leading to reduced accuracy in identifying speakers, especially in multi-speaker environments.
Innovation Solution
An object recognition method that combines speech information and position information using a trained voiceprint matching model to extract voiceprint features and calculate a confidence value, allowing for more accurate identification of target objects by integrating voice confidence values with position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voiceprint matching is used to identify speakers, then speaker identification can be performed, but accuracy decreases when voiceprint features are similar
Solution Approach 1:
The patent combines voiceprint feature matching with position information to form a composite recognition system. The voiceprint module extracts acoustic features while the position module determines spatial location, and both results are integrated through a scoring mechanism to achieve more reliable speaker identification, especially when voiceprint features are similar.
Solution Approach 2:
The patent introduces a score calculation module as an intermediary that processes both voiceprint matching results and position information. This intermediary computes a comprehensive recognition score by weighting and combining multiple factors, thereby mediating between the voiceprint features and final identification decisions to improve accuracy.
2Device complexity
If only voiceprint features are used for recognition, then the system is simple, but it cannot distinguish speakers with similar voiceprint patterns
Solution Approach 1:
The patent adds a spatial dimension to the voiceprint recognition system by incorporating position information. Instead of relying solely on acoustic feature space, the system now operates in a combined space of voiceprint characteristics and spatial location, enabling differentiation of speakers with similar voiceprints through their distinct positional information.
3Productivity
If voiceprint matching is performed in multi-speaker environments, then speaker identification is possible, but accuracy reduces due to similar voiceprint features
Solution Approach 1:
The patent segments the speaker identification process into distinct functional modules: voiceprint feature extraction, position information acquisition, score calculation, and final recognition decision. This segmentation allows each module to specialize in specific tasks and enables the system to handle multi-speaker environments more effectively by independently processing and integrating different information sources.
Data Source
AI summary
An object recognition method is provided. The method includes obtaining speech information of a target object in a current speech environment and position information of the target object; extracting voiceprint feature from the speech information based on a trained voiceprint matching model, to obtain voiceprint feature information; obtaining a voice confidence value corresponding to the voiceprint feature information; and obtaining an object recognition result of the target object based on the voice confidence value, the position information, and the voiceprint feature information.