• Overview
- The application provides long-term audio analysis capabilities, based on semantic audio processing concepts
- Intelligent Sound Analysis brings real time audio-pattern recognition, visually resulting into an event detection markup timeline
- A dynamic audio-samples database is used as a pattern-storing matrix, which is configurable by users
- Α build-in audio semantic engine is capable of detecting audio events and patterns

• Highlights
- Perfectly polished UI, delivering professional-grade user experience
- State-of-the-art implementations for Audio Feature Extraction, Temporal Feature Integration and Pattern Classification algorithms
- Calibrated using reference equipment

• Main Features
- SoundMaster ISA: intelligent long-term audio monitoring
- SoundMaster RVA: octave-based RT60 measurements
- SoundMaster RTA: octave-based audio analysis
- SoundMaster SLM: professional sound level metering
- Advanced calibration and equalization support
- Sophisticated measurements management

• Under the hood
- 44.1kHz/32bit raw audio recording
- 20Hz to 20kHz frequency response
- 90dB dynamic range, from 25dB to 115dB SPL[A]
- ±1.4dB accuracy @25dB-115dB SPL[A]
- Low latency and processing-loss spectral analyzer
- Audio I/O latencies monitoring and compensation
- Build-in audio feature extraction engine for estimating temporal an spectral audio features
- MFCCs, ZCR, Spectral Centroid, Spread, Flatness, Crest Factor and Rolloff calculation
- 1NN and Euclidian-Distance based classifiers that enable audio pattern classification
- Mean, Variance and MeanVar temporal feature integration models for improving detection robustness

• Audio Semantic Analysis
- Audio event detection and pattern matching annotation
- Option for capturing new audio samples and building a custom audio pattern library
- Option for choosing a subset of all available patterns on each measurement
- 1NN and Euclidian-Distance based algorithm as choices for classification
- Mean, Variance and MeanVar models as choices for temporal feature integration
- Audio event detection sensitivity adjustment
- Audio pattern matching sensitivity adjustment
- Audio features selection support

• Reverberation Time Measurements
- Octave-based RT60 measurement capability
- Interrupted noise method implementation through signal excitiation
- Build-in band-pass input filtering for improved tolerance to background noise
- Build-in band-pass noise generator
- Option for measuring T[20] or T[30]
- Option for setting the repetition-count for each measurement
- Ability to detect measurement errors and inform the user through an error-code protocol
- High background noise, insufficient signal volume, low SNR and noise during decay errors detection
- Retry on error automation

• Noise Measurements
- Digital VU and numeric visualizations
- Broadband RMS, Peak, Max, Min, Leq and measurement duration data handling
- Octave-based RMS, Leq, Max, Min data handling
- Impulsive, Fast and Slow response modes
- A, B, C, D, Z weighting filters

• Advanced Calibration
- Calibrated and equalized for each iPhone model
- Calibrated for the MicW i436, as an external input source
- Calibration data is OTA (Over the Air) updated
- User calibration and equalization facility
- Custom octave-based gain adjustment support

• Session Management
- Frame-based time-series of measurement data handling
- Overall statistics calculation for noise measurements
- Event detection timeline annotation for long-term monitoring
- Photo capture capability
- Time and geolocation awareness support
- Title, location and comments metadata support
- Audio recording (CAF format), measurement data (CSV format) and metadata export capabilities

• Additional Capabilities
- Option for keeping the device awake during recording
- Option for auto-stopping measurements after a preconfigured duration
- Background recording capability
- Upside down orientation support