Automated Infant Cry Analysis Using Cepstrum and SNR Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for analyzing infant cries are slow, invasive, and require trained observers, limiting early detection and intervention for developmental disorders such as autism spectrum disorders.
Innovation Solution
A method and apparatus for automated analysis of infant cries using digital signal processing techniques, including filtering, cepstrum analysis, and signal-to-noise ratio testing, to extract acoustic features like fundamental frequency and hyper-pitch, enabling fast and accurate identification of diagnostic indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection of spectrograms is used to detect acoustic features, then diagnostic accuracy can be achieved, but the analysis speed is slow and requires trained observers
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated computer-based system. The computer automatically detects acoustic features including fundamental frequency, zero-crossing rate, and spectral characteristics from infant cry recordings, eliminating the need for trained observers to manually inspect spectrograms while maintaining diagnostic accuracy
Solution Approach 2:
The system performs self-analysis by automatically processing cry recordings and generating diagnostic reports. The computer algorithm independently identifies acoustic features and compares them against normative data without requiring human intervention for feature detection, enabling the system to serve itself in the analysis process
2Measurement precision
If manual inspection methods are used, then detailed acoustic feature detection is possible, but the amount of data that can be analyzed is limited
Solution Approach 1:
The automated computer system can process large volumes of cry recordings efficiently, analyzing dozens or hundreds of recordings that would be impractical to examine manually. The system maintains precise detection of acoustic features while scaling to analyze much larger datasets for population studies and longitudinal assessments
3Productivity
If automated signal processing is implemented, then analysis speed and productivity improve, but the complexity of the device increases
Solution Approach 1:
The patent employs a universal computer platform that can perform multiple functions: recording cry sounds, processing audio signals, detecting acoustic features, comparing against normative data, and generating diagnostic reports. This multi-functional approach consolidates complex operations into a single integrated system rather than requiring separate specialized devices for each function
Solution Approach 2:
The system uses standardized audio file formats and established acoustic analysis algorithms as intermediaries between the raw cry recording and the diagnostic interpretation. These standardized interfaces simplify the processing pipeline and make the system more manageable despite the underlying complexity of signal processing operations
4Measurement precision
If standardized clinical instruments with controlled recording are used, then sensitivity and accuracy improve, but the ease of operation decreases due to setup requirements
Solution Approach 1:
The system automatically applies standardized processing algorithms and normative comparison criteria, eliminating the need for manual calibration and standardization procedures. The computer automatically ensures consistent analysis parameters across different recordings and operators, maintaining high diagnostic sensitivity without requiring manual setup of standardized protocols
Data Source
AI summary
An automated infant cry analyzer with high accuracy to detect important acoustic features of cry is provided. The system's accuracy was rigorously tested and was compared to ground truth manual coding. The resulting methods and systems are applied to infant developmental disorders.