Appmuse

• 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