Iterative Coherence Filtering for Voice Signal Noise Suppression
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Solution Overview
Problem
Coherence filtering effectively suppresses noise components but can cause musical noise, a type of tonal noise, which is not adequately addressed in existing technologies.
Innovation Solution
A signal processor that employs iterative coherence filtering using a coherence filter coefficient to suppress noise components, with an iteration controller ensuring the filtering process continues until a predetermined condition is met, thereby preventing musical noise generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If coherence filtering is applied to suppress noise components, then noise suppression effectiveness is improved, but musical noise generation occurs
Solution Approach 1:
The patent applies feedback by iteratively feeding the filtered signal back into the coherence filtering process. The iteration controller uses the output of each filtering stage as input for the next iteration, continuously adjusting the filtering based on the resulting signal characteristics. This feedback mechanism allows the system to suppress noise components while monitoring and preventing musical noise generation through iterative refinement.
Solution Approach 2:
The patent implements periodic action through iterative coherence filtering, where the filtering process is repeated multiple times in sequence. Each iteration applies coherence filtering to the output of the previous iteration, creating a periodic processing cycle. The iteration controller manages these repeated applications, allowing progressive noise suppression while maintaining signal quality and preventing musical noise artifacts.
2Object-affected harmful factors
If iterative coherence filtering is applied, then noise suppression is improved, but device complexity increases
Solution Approach 1:
The patent achieves multi-functionality by combining noise suppression and musical noise prevention within a single iterative coherence filtering framework. The filtering processor performs multiple functions: it suppresses noise components through coherence filtering while the iteration controller simultaneously prevents musical noise generation by managing the iterative process. This unified approach eliminates the need for separate processing stages, reducing overall device complexity despite the iterative nature of the filtering.
Data Source
AI summary
A signal processor is configured to suppress a noise component contained in an input voice signal by means of coherence filtering. The processor includes an iterative coherence filtering function for repeatedly conducting the coherence filtering on a signal, which has been subjected to the coherence filtering and then input to the processor again as input signal, and performs the iteration processing on the signal obtained by the coherence filtering until a condition for terminating the iteration is satisfied, thereby preventing musical noise from generating while a noise component is suppressed.