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Beat Detection Algorithms (Part 1) · Marco Ziccardi
https://mziccard.me/2015/05/28/beats-detection-algorithms-1/#:~:text=The%20algorithm%20divides%20the%20data%20into%20blocks%20of,the%20block%20is%20considered%20to%20contain%20a%20beat.
Audio Detection Algorithms in Combat Simulation
https://faculty.nps.edu/bneta/papers/AudioDetectionCombat.pdf
Audio Detection Algorithms 67 UCCATS attempts to simulate the detection of mechanical vehicles based on sound cueing. Sound cueing is determined by the mechanical vehicle and the distance between the vehicle and the detecting unit. Units report the detection of mechanical vehicles to the player. UCCATS
Audio detection algorithms - NASA/ADS
https://ui.adsabs.harvard.edu/abs/1992nps..reptR....N/abstract
Audio information concerning targets generally includes direction, frequencies, and energy levels. One use of audio cueing is to use direction information to help determine where more sensitive visual direction and acquisition sensors should be directed. Generally, use of audio cueing will shorten times required for visual detection, although there could be circumstances …
Voice Audio Detection algorithm - Signal Processing Stack ...
https://dsp.stackexchange.com/questions/14491/voice-audio-detection-algorithm
int n = vocalSample.length;for (int j = 0; j < n; j++) { for (int i = 0; i < n; i++) { correllation[j] += vocalSample[i] * vocalSample[(n + i - j) % n]; }} then calculate mean value of the array. Do this for very small arrays (e.g. 1ms at 22KHz -> 22 values), otherwise it will take ages.
Using Audio Onset Detection Algorithms - Diana Siwiak
https://dianasiwiak.com/docs/enzcon2017.pdf
known, pre-existing onset detection algorithms using a solo flute audio signal, exemplary audio features and analysis techniques will be determined. Flute audio signals are unique, in that they mimic pure sinusoidal tendencies more so than other woodwind audio signals. The analysis of these algorithms will contribute to
Audio characteristics and algorithms
https://helpcenter.celemony.com/M5/doc/melodyneStudio5/en/M5tour_AudioAlgorithms?env=standAlone
Melodyne analyzes the audio material to find the notes it contains and offer them to you for editing. We call this process “detection”. In the course of the detection process, Melodyne itself takes a view as to what kind of material it is confronted with and decides which algorithm to use for the display and playback of the notes.
Audio Detection - Tech Art
https://www.tech-art.org/?portfolio=audio-detection
Onset Detection Function The basic operation of the Onset Detection Function consists of analyzing a “subsampled” version of the original audio signal. As described in more detail later, the audio signal is divided into consecutive frames consisting of a fixed number of samples. These frames overlap at a certain percentage, the Hop Size.
Reverse-Engineering an Audio Aggression Detection Algorithm
https://cpb-us-w2.wpmucdn.com/sites.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_52.pdf
Intelligence, the Louroe aggression detector includes: 1) a und-processing component that extracts sound features from raw audio input, 3) a machine-learning algorithm that uses those features to predict verbal aggression and 4) a thresholding component that contains settings for …
Beat Detection Algorithms (Part 1) · Marco Ziccardi
https://mziccard.me/2015/05/28/beats-detection-algorithms-1/
Filtered audio data are divided into windows of samples (whose dimension is the sample frequency, i.e. 1s). A peak detection algorithm is applied to each window and identifies as peaks all values above a certain threshold (defined as C ⋅ a v g ( w i n d o w) where C is for the user to be configured, e.g. 0.95 ).
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