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Audio characteristics and algorithms
https://helpcenter.celemony.com/M5/doc/melodyneStudio5/en/M5tour_AudioAlgorithms?env=standAlone
The “Percussive” algorithms. The "Percussive" algorithms are suitable for recordings of drums and other percussion instruments but also noise and atmospheric effects as well as other material in which Melodyne cannot detect …
Algorithms and Techniques for Detecting Signals in Noise
http://g4jnt.com/SignalDetection.pdf
of a weak carrier in noise and either sound an alarm or start some recording software. A simple threshold detector on the AGC line, or an audio filter followed by a tone detector, is one means to detect signals that are strong enough to trigger the circuitry, but for signals that are buried right down in the noise these techniques will not work.
Voice Audio Detection algorithm - Signal Processing Stack ...
https://dsp.stackexchange.com/questions/14491/voice-audio-detection-algorithm
Voice Audio Detection algorithm. Ask Question Asked 7 years, 10 months ago. ... then you could implement the logic of what sound engineers call a noise gate : below a certain audio power threshold, it's silence, otherwise it's not. ... Frequency detection in audio and what parameter or set of parameters help/limit frequency detection.
Attention-Based LSTM Algorithm for Audio Replay Detection ...
https://pdfs.semanticscholar.org/6945/3fac2454bf77af1119155cff24243e3385ce.pdf
A replay-detection algorithm, based on peakmap audio features, was proposed in [4], which calculated ... worth exploring the e ectiveness of a noise-robust algorithm on spoofing detection, which is the motivation of this paper. 3. Motivation
Voice Activity Detection in Noise Using Deep Learning ...
https://www.mathworks.com/help/audio/ug/voice-activity-detection-in-noise-using-deep-learning.html
Introduction. Voice activity detection is an essential component of many audio systems, such as automatic speech recognition and speaker recognition. Voice activity detection can be especially challenging in low signal-to-noise (SNR) situations, where speech is obstructed by noise. This example uses long short-term memory (LSTM) networks, which ...
Real-Time Detection of Impulsive Sounds for Audio ...
http://ceur-ws.org/Vol-2351/paper_49.pdf
detection of audio events. The tasks of detection and recognition of sounds in refer-ence [3] were conducted offline. We have optimized the algorithmic parameters of this method to exploit it for real time detection of IS. It was implemented on MATLAB software. The detection process is summarized as follows. Algorithm 1: 1.
Audio Noise Reduction from Audio Signals and Speech Signals
http://www.ijcstjournal.org/volume-2/issue-5/IJCST-V2I5P28.pdf
virtually any audio source. Noise reduction is the process of removing . noise from a signal. All recording devices, both . analogue or digital, have traits which make them susceptible to noise. Noise can be random or white noise with no coherence, or coherent noise introduced by the device's mechanism or processing algorithms. Their is a ...
Sound detection | Axis Communications
https://www.axis.com/solutions/sound-detection
Sound detection adds an extra dimension to active incident management by catching audible indicators of imminent threats. Combining the advanced processing power of Axis cameras with deep-learning AI acoustic algorithms from our partners, we automatically filter through the “noise” to alert you to actionable security events.
Speech or Noise? Using Signal Detection and Noise ...
https://hearingreview.com/inside-hearing/events/speech-or-noise-using-signal-detection-and-noise-reduction
Classifying Noise The effectiveness of a noise reduction algorithm depends primarily on the design of the hearing aid signal detection and classification system. Some earlier noise reduction algorithms tested only one dimension of the signal to determine if a sound was a desirable signal or a noise.
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