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What (who) is peak detection - definition

TECHNIQUE USED IN SPEECH PROCESSING IN WHICH THE PRESENCE OR ABSENCE OF HUMAN SPEECH IS DETECTED

Voice Activity Detection; Voice detection; Speech detection

Anomaly detection

THE IDENTIFICATION OF RARE ITEMS, EVENTS OR OBSERVATIONS WHICH RAISE SUSPICIONS BY DIFFERING SIGNIFICANTLY FROM THE EXPECTED OR MAJORITY OF THE DATA

Novelty detector; Novelty detectors; Outlier detection; Deviation detection; Exception detection; Unsupervised anomaly detection; Supervised anomaly detection; Applications of anomaly detection

In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behaviour. Such examples may arouse suspicions of being generated by a different mechanism, or appear inconsistent with the remainder of that set of data.

https://en.wikipedia.org/wiki/Anomaly_detection

Shot transition detection

AUTOMATED DETECTION OF TRANSITIONS BETWEEN SHOTS

Cut detection; Shot detection; Shot boundary detection

Shot transition detection (or simply shot detection) also called cut detection is a field of research of video processing. Its subject is the automated detection of transitions between shots in digital video with the purpose of temporal segmentation of videos.

https://en.wikipedia.org/wiki/Shot_transition_detection

Content similarity detection

THE PROCESS OF DETECTING PLAGIARISM

Plagurism Detection; Anti-plagiarism; Plagiarismdetect; Plagiarism detecting; Plagiarism checker; Plagiarism detector; Plagiarism detection; Duplicate content detection; Citation-based plagiarism detection; Similarity detection; Video similarity detection; Plagiarism detection software

Plagiarism detection or content similarity detection is the process of locating instances of plagiarism or copyright infringement within a work or document. The widespread use of computers and the advent of the Internet have made it easier to plagiarize the work of others.

https://en.wikipedia.org/wiki/Content_similarity_detection

Wikipedia

Voice activity detection

Voice activity detection (VAD), also known as speech activity detection or speech detection, is the detection of the presence or absence of human speech, used in speech processing. The main uses of VAD are in speaker diarization, speech coding and speech recognition. It can facilitate speech processing, and can also be used to deactivate some processes during non-speech section of an audio session: it can avoid unnecessary coding/transmission of silence packets in Voice over Internet Protocol (VoIP) applications, saving on computation and on network bandwidth.

VAD is an important enabling technology for a variety of speech-based applications. Therefore, various VAD algorithms have been developed that provide varying features and compromises between latency, sensitivity, accuracy and computational cost. Some VAD algorithms also provide further analysis, for example whether the speech is voiced, unvoiced or sustained. Voice activity detection is usually independent of language.

It was first investigated for use on time-assignment speech interpolation (TASI) systems.

https://en.wikipedia.org/wiki/Voice activity detection