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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.
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 earliest work on pronunciation assessment avoided measuring genuine listener intelligibility, [10] a shortcoming corrected in 2011 at the Toyohashi University of Technology, [11] and included in the Versant high-stakes English fluency assessment from Pearson [12] and mobile apps from 17zuoye Education & Technology, [13] but still missing in 2023 products from Google Search, [14] Microsoft ...
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 ...
Perceptual Evaluation of Speech Quality (PESQ) is a family of standards comprising a test methodology for automated assessment of the speech quality as experienced by a user of a telephony system. It was standardized as Recommendation ITU-T P.862 [1] in 2001. PESQ is used for objective voice quality testing by phone manufacturers, network ...
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 ...
IEEE Recommended Practice for Speech Quality Measurements [3] sets out seventy-two lists of ten phrases each, described as the "1965 Revised List of Phonetically Balanced Sentences (Harvard Sentences)." They are widely used in research on telecommunications, speech, and acoustics, where standardized and repeatable sequences of speech are needed.
Among her many accomplishments, Dubno has contributed to the development of the Speech Intelligibility Index (SII), which is a measure of speech clarity that takes into account the audibility of different speech sounds. The SII has been extensively used in the fitting of hearing aids and the design of hearing assistive devices. [7]