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In speech communication, intelligibility is a measure of how comprehensible speech is in given conditions. Intelligibility is affected by the level (loud but not too loud) and quality of the speech signal, the type and level of background noise, reverberation (some reflections but not too many), and, for speech over communication devices, the properties of the communication system.
The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement, and used for many applications such as mobile phones , VoIP ...
Simultaneous communication, SimCom, or sign supported speech (SSS) is a technique sometimes used by deaf, hard-of-hearing or hearing sign language users in which both a spoken language and a manual variant of that language (such as English and manually coded English) are used simultaneously. While the idea of communicating using two modes of ...
Envelope and TFS measurements can also be combined to form intelligibility and quality metrics. A family of metrics for speech intelligibility, [263] speech quality, [267] [268] and music quality [269] has been derived using a shared model of the auditory periphery [270] that can represent hearing loss. Using a model of the impaired periphery ...
Speech Transmission Index (STI) is a measure of speech transmission quality. The absolute measurement of speech intelligibility is a complex science. The STI measures some physical characteristics of a transmission channel (a room, electro-acoustic equipment, telephone line, etc.), and expresses the ability of the channel to carry across the characteristics of a speech signal.
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In many industrial settings noise exposure metrics have been established to quantify human exposure to sound. In aerospace settings the Speech Intelligibility Index (SII), published in 1986 by the American National Standards Institute, is a major revision of the AI standard and defines computational methods "that produce results highly correlated with the intelligibility of speech under a ...
The postgame message of “sticking together” from Matt Eberflus following the Chicago Bears' Thanksgiving Day loss to the Detroit Lions reportedly did not go over well with members of the team.