03352nam 2200613 a 450 991073946050332120200520144314.01-283-94635-13-642-35019-410.1007/978-3-642-35019-1(CKB)2670000000533379(EBL)1082866(OCoLC)823728214(SSID)ssj0000878747(PQKBManifestationID)11442518(PQKBTitleCode)TC0000878747(PQKBWorkID)10836566(PQKB)10121036(DE-He213)978-3-642-35019-1(MiAaPQ)EBC1082866(PPN)168327872(EXLCZ)99267000000053337920130116d2013 uy 0engur|n|---|||||txtccrDimension-based quality modeling of transmitted speech /Marcel Waltermann1st ed. 2013.Heidelberg Springer20131 online resource (206 p.)T-labs series in telecommunication services,2192-2810Description based upon print version of record.3-642-35018-6 3-642-42741-3 Includes bibliographical references.A Dimension-based Approach to Mouth-to-ear Speech Transmission Quality -- Quality Feature Space of Transmitted Speech -- Direct Scaling of Speech Quality Dimensions -- Instrumental Dimension-based Speech Quality Modeling.In this book, speech transmission quality is modeled on the basis of perceptual dimensions. The author identifies those dimensions that are relevant for today's public-switched and packet-based telecommunication systems, regarding the complete transmission path from the mouth of the speaker to the ear of the listener. Both narrowband (300-3400 Hz) as well as wideband (50-7000 Hz) speech transmission is taken into account. A new analytical assessment method is presented that allows the dimensions to be rated by non-expert listeners in a direct way. Due to the efficiency of the test method, a relatively large number of stimuli can be assessed in auditory tests. The test method is applied in two auditory experiments. The book gives the evidence that this test method provides meaningful and reliable results. The resulting dimension scores together with respective overall quality ratings form the basis for a new parametric model for the quality estimation of transmitted speech based on the perceptual dimensions. In a two-step model approach, instrumental dimension models estimate dimension impairment factors in a first step. The resulting dimension estimates are combined by a Euclidean integration function in a second step in order to provide an estimate of the total impairment.T-Labs Series in Telecommunication Services,2192-2810Telecommunication linesSpeech processing systemsTelecommunication lines.Speech processing systems.621.39621.39/9Waltermann Marcel1424346MiAaPQMiAaPQMiAaPQBOOK9910739460503321Dimension-based Quality Modeling of Transmitted Speech3553474UNINA