This paper proposes the application of tree-structured clustering to various noise samples or noisy speech in the framework of piecewise-linear transformation (PLT)-based noise adaptation.According to the clustering results, a noisy speech HMM is made for each node of the tree structure.Based on the likelihood maximization criterion, the HMM that best matches the input speech is selected by tracing the tree from top to bottom, and the selected HMM is further adapted by linear transformation.The proposed method is evaluated by applying it to a Japanese dialogue recognition system.The results confirm that the proposed method is effective in recognizing noise-added speech under various noise conditions.

Article Free Access Share on Projection detecting filter for video cut detection Authors: Kiyotaka Otsuji View Profile , Yoshinobu Tonomura View Profile Authors Info & Claims MULTIMEDIA '93: Proceedings of the first ACM international conference on MultimediaSeptember 1993 Pages 251–257https://doi.org/10.1145/166266.166295Published:01 September 1993Publication History 45citation505DownloadsMetricsTotal Citations45Total Downloads505Last 12 Months29Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF