Voice Frequency Adjustment for Ambient Noise Avoidance
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Solution Overview
Problem
Existing sound playing devices struggle to quickly and efficiently adjust voice frequencies to avoid ambient noise interference, as they require analyzing all frequency bands and cannot react immediately to changes in external noise frequencies.
Innovation Solution
A method and device that detect ambient noise and shift specific consonant frequencies to a target range near the original frequency, avoiding interference by analyzing the energy of ambient sounds and adjusting consonant frequencies using a voice acquisition, sound detection, processing, and speaker module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all frequency bands are analyzed to identify external noise frequency, then noise identification accuracy is improved, but processing time increases
Solution Approach 1:
The patent segments the frequency analysis process by focusing only on the main frequency range of consonants rather than analyzing all frequency bands. The noise detection module specifically targets the frequency range where consonants are located, dividing the complex full-spectrum analysis into a focused subset that maintains identification accuracy while reducing processing time.
Solution Approach 2:
The patent applies local quality by concentrating noise detection resources on the specific frequency region where consonants occur (typically 200-4000 Hz). Instead of uniform analysis across all frequencies, the system adapts the detection sensitivity and range to match the local characteristics of consonant frequencies, improving efficiency without sacrificing accuracy in the critical range.
2Reliability
If frequency band analysis is performed to detect ambient sound, then noise detection capability is improved, but processing speed deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-identifying the main frequency range of consonants before noise detection begins. The system prepares the frequency range information in advance, so when ambient sound needs to be detected, the analysis is already constrained to the relevant frequencies, eliminating the need for exhaustive full-band scanning and thereby improving processing speed while maintaining detection capability.
Solution Approach 2:
The patent applies dynamics by making the frequency analysis range adaptive rather than static. The noise detection module dynamically adjusts its analysis scope based on the detected consonant frequency range in real-time, expanding or contracting the detection bandwidth as needed. This dynamic approach ensures reliable noise detection only where necessary, significantly improving processing speed without compromising detection reliability.
3Measurement precision
If consonant frequency is shifted to avoid ambient sound, then sound clarity is improved, but frequency accuracy deteriorates
Solution Approach 1:
The patent converts the harmful effect of ambient noise at certain frequencies into a beneficial frequency-shifting opportunity. When noise is detected in the consonant's main frequency range, the system deliberately shifts the consonant frequency away from the noisy region. This transforms the problem of frequency conflict into a solution where the frequency adjustment itself becomes the mechanism for improving sound clarity, with the original frequency accuracy temporarily sacrificed for overall audio quality.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting the frequency parameter of consonants based on ambient noise conditions. The system monitors the energy levels in the consonant frequency range and, when noise exceeds a threshold, shifts the frequency parameter to a cleaner region. This parameter adaptation maintains sound clarity by avoiding noisy frequencies while preserving the intelligibility and naturalness of the consonant sounds.
Data Source
AI summary
A method far adjusting a voice frequency and a sound playing device thereof are disclosed. The method includes the following steps: acquiring an input voice; when the input voice has a consonant, performing: detecting whether a main frequency range of the consonant has an ambient sound and an energy of the ambient sound is enough to disturb the consonant; if not, the frequency of the consonant is not shifted and the consonant is output; and if so, the consonant is shifted to a target frequency to avoid the ambient sound to form a frequency-shifting consonant. Then the frequency-shifting sub-note consonant is output to form an output voice. The target frequency is located near the main frequency of the consonant, and no other ambient sound exists in the target frequency and no the energy of the other ambient sound is enough to disturb the consonant.