Vocal Training Apparatus with Biometric and Acoustic Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vocal training devices and systems lack comprehensive solutions for enhancing singing ability by providing real-time feedback on both acoustic quality and health status of the vocal organs.
Innovation Solution
A vocal training apparatus comprising a microphone with integrated voice and biometric sensors, a converter for digital signal processing, and a vocal analyzer that uses convolutional neural networks to determine acoustic quality and health status, providing immediate feedback through visual and auditory indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a vocal training device provides basic singing training functions, then singing ability can be improved, but comprehensive health status monitoring capability is lacking
Solution Approach 1:
The vocal training device is designed to perform multiple functions: it not only provides singing training through acoustic quality analysis but also monitors health status by detecting biometric signals such as heart rate and respiratory rate. This multi-functional design allows a single device to deliver comprehensive vocal training services including both performance improvement and health protection
2Measurement precision
If real-time feedback on acoustic quality is provided, then singing ability improves, but real-time health status monitoring is not available
Solution Approach 1:
The device combines acoustic quality determination and health status determination into a single integrated system. The voice sensor captures acoustic signals while the biometric sensor simultaneously detects physiological signals, and both are processed together to provide comprehensive real-time feedback that ensures both singing quality and vocal organ health
3Adaptability or versatility
If comprehensive vocal training and health monitoring are provided, then singing ability and health are improved, but device complexity increases
Solution Approach 1:
The device is divided into distinct functional modules: a voice sensor for acoustic signal capture, a biometric sensor for physiological signal detection, an acoustic quality determination module, and a health status determination module. This modular segmentation allows each component to perform its specific function independently while working together as an integrated system, managing complexity through functional decomposition
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus enables users to continuously and objectively monitor their acoustic quality and health status, offering personalized vocal training and health guidance, thus improving singing ability and preventing vocal strain.
Implementation Method 1
a voice sensor configured to collect an audio signal
Implementation Method 2
a converter connected to the voice sensor and configured to convert the audio signal into a digital audio signal
Implementation Method 3
a biometric sensor configured to detect one or more biometric signals
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
A microphone, a vocal training apparatus and vocal training method are provided. The microphone includes: a voice sensor (110a) configured to collect an audio signal, a converter (110b) connected to the voice sensor (110a) and configured to convert the audio signal into a digital audio signal, a signal transceiver (120) connected to the converter (110b) and configured to transmit the digital audio signal and receive a voice status determination signal generated based on the digital audio signal, and an indicator (130) configured to generate one or more indication signals based on the voice status determination signal. The voice status determination signal includes one or a combination of an acoustic quality determination signal and a health status determination signal. The one or more indication signals include one or a combination of an acoustic quality indication signal and a health status indication signal.