Audio Processing System for Real-Time Communication Feedback
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Solution Overview
Problem
Individuals with conditions such as autism, Asperger syndrome, and communication disorders face challenges in maintaining socially appropriate eye contact, managing tantrums, and effectively communicating through speech and language, which existing technologies have not adequately addressed.
Innovation Solution
A system and method for capturing and processing audio data using wearable apparatuses, which analyzes conversations to provide real-time feedback and reports. This system includes features for detecting tantrums, identifying speech prosody, and assessing spatial orientation during conversations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio processing systems are developed to analyze conversations and provide feedback, then communication effectiveness is improved, but device complexity increases
Solution Approach 1:
The audio processing system is divided into separate functional modules: audio capture module, speech recognition module, prosody analysis module, tantrum detection module, and feedback generation module. Each module processes specific aspects of audio data independently, making the complex system more manageable and maintainable while improving overall communication effectiveness for individuals with autism and communication disorders
Solution Approach 2:
The system introduces an intermediary processing layer between audio input and communication feedback. This intermediary layer includes the audio processing unit that analyzes prosody, detects tantrums, and generates structured feedback reports, serving as a mediator that transforms raw audio data into actionable communication insights without directly increasing the complexity of the end-user interface
2Reliability
If real-time audio analysis is performed to detect tantrums and speech patterns, then communication skills improvement is enhanced, but processing time increases
Solution Approach 1:
The system performs preliminary audio capture and basic processing in the background before actual analysis is needed. The audio recording unit continuously captures audio data, and the processing unit pre-processes this data to identify speech segments and prosodic patterns, so that when tantrum detection is required, the analysis can proceed faster from already-prepared data rather than from raw audio recordings
Solution Approach 2:
The system analyzes only the most critical aspects of audio data relevant to tantrum detection and communication feedback, such as prosody patterns, speech rhythm, and emotional tone, rather than processing every possible audio parameter. This selective analysis approach reduces processing time while maintaining the reliability of detecting communication issues and improving communication skills
3Measurement precision
If multiple audio sensors are used to capture spatial orientation and speech directions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple audio sensors are merged into a unified processing system where the audio processing unit integrates signals from all sensors to determine spatial orientation and speech direction. The system combines data from directional microphones and audio sensors into a single coherent spatial map, improving measurement precision while managing complexity through integrated processing rather than separate sensor systems
Solution Approach 2:
The audio sensors serve multiple functions: capturing speech for recognition, detecting spatial orientation for feedback positioning, identifying tantrum patterns, and analyzing prosody. This multi-functionality reduces the need for separate specialized sensors for each purpose, thereby improving measurement precision across multiple parameters without proportionally increasing device complexity
Data Source
AI summary
Systems, methods and non-transitory computer readable media for processing audio and visually presenting information are provided. Audio data may be obtained. The audio data may be analyzed to obtain textual information. The audio data may be analyzed to associate different portions of the textual information with different speakers. Each portion of the textual information may be presented in a presentation region associated with the speaker associated with the portion of the textual information. The audio data may be analyzed to identify a nonverbal sound. A textual description of the nonverbal sound may be generated.