Analysis Of Speech Disorders In Children With Cleft Lip And Palate Author
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Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 68 pages. Dimensions: 8.9in. x 5.8in. x 0.2in.Speech disorders, especially hypernasality, are common in children with cleft lip and palate. In order to simplify the diagnosis during the speech therapy of these patients an automatic non-invasive way to measure hypernasality is desirable. In this context, the author analyzes approaches to the detection of hypernasal speech. The focus lies on examining the fitness of several features for that purpose. These include pronunciation features computed from phoneme confusion probabilities, prosodic features, features based on the Teager Energy operator, and Mel Frequency Cepstral Coefficients. The extraction process of each of these features is described as well as the classification system in which they are tested. Finally, experimental results are presented and discussed. This work addresses researchers in the field of pattern recognition. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.Speech disorders, especially hypernasality, are common in children with cleft lip and palate. In order to simplify the diagnosis during the speech therapy of these patients an automatic non-invasive way to measure hypernasality is desirable. In this context, the author analyzes approaches to the detection of hypernasal speech. The focus lies on examining the fitness of several features for that purpose. These include pronunciation features computed from phoneme confusion probabilities, prosodic features, features based on the Teager Energy operator, and Mel Frequency Cepstral Coefficients. The extraction process of each of these features is described as well as the classification system in which they are tested. Finally, experimental results are presented and discussed. This work addresses researchers in the field of pattern recognition.

Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
This item is printed on demand. Paperback. Speech disorders, especially hypernasality, are common in children with cleft lip and palate. In order to simplify the diagnosis during the speech therapy of these patients an automatic non-invasive way to measure hypernasality is desirable. In this context, the author analyzes approaches to the detection of hypernasal speech. The focus lies on examining the fitness of several features for that purpose. These include pronunciation features computed from phoneme confusion probabilities, prosodic features, features based on the Teager Energy operator, and Mel Frequency Cepstral Coefficients. The extraction process of each of these features is described as well as the classification system in which they are tested. Finally, experimental results are presented and discussed. This work addresses researchers in the field of pattern recognition. This item ships from La Vergne,TN.

Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
Speech disorders, especially hypernasality, are common in children with cleft lip and palate. In order to simplify the diagnosis during the speech therapy of these patients an automatic non-invasive way to measure hypernasality is desirable. In this context, the author analyzes approaches to the detection of hypernasal speech. The focus lies on examining the fitness of several features for that purpose. These include pronunciation features computed from phoneme confusion probabilities, prosodic features, features based on the Teager Energy operator, and Mel Frequency Cepstral Coefficients. The extraction process of each of these features is described as well as the classification system in which they are tested. Finally, experimental results are presented and discussed. This work addresses researchers in the field of pattern recognition.2013. 68 S. 220 mmVersandfertig in 3-5 Tagen, Softcover.

Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Speech disorders, especially hypernasality, are common in children with cleft lip and palate. In order to simplify the diagnosis during the speech therapy of these patients an automatic non-invasive way to measure hypernasality is desirable. In this context, the author analyzes approaches to the detection of hypernasal speech. The focus lies on examining the fitness of several features for that purpose. These include pronunciation features computed from phoneme confusion probabilities, prosodic features, features based on the Teager Energy operator, and Mel Frequency Cepstral Coefficients. The extraction process of each of these features is described as well as the classification system in which they are tested. Finally, experimental results are presented and discussed. This work addresses researchers in the field of pattern recognition.

Detection of Hypernasality on Phoneme and Word Level, Detection of Hypernasality on Phoneme and Word Level.