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Titlebook: Chinese Spoken Language Processing; 5th International Sy Qiang Huo,Bin Ma,Haizhou Li Conference proceedings 2006 Springer-Verlag Berlin Hei

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41#
發(fā)表于 2025-3-28 18:34:03 | 只看該作者
Representing Temporal Knowledgeands in approximate Mel-scale using an admissible wavelet packet filterbank and modeling each dialectal zone with the 2. and 3. order polynomial expansions of feature vector. Confusion matrices are also shown for different dialectal zones.
42#
發(fā)表于 2025-3-28 18:50:00 | 只看該作者
Design of Cubic Spline Wavelet for Open Set Speaker Classification in Marathiands in approximate Mel-scale using an admissible wavelet packet filterbank and modeling each dialectal zone with the 2. and 3. order polynomial expansions of feature vector. Confusion matrices are also shown for different dialectal zones.
43#
發(fā)表于 2025-3-29 01:14:48 | 只看該作者
Focus, Lexical Stress and Boundary Tone: Interaction of Three Prosodic Featuresundary tone at the end of the word. Furthermore, the location of lexical stress restrains the height at F0 peak and high end to be reached. The interaction of these three factors on a single word leads to F0 competition due to limited articulatory dimensions. The study helps to build prosodic model for high quality speech synthesis.
44#
發(fā)表于 2025-3-29 04:20:07 | 只看該作者
Speaker-and-Environment Change Detection in Broadcast News Using Maximum Divergence Common Componentned using a four-hour TV broadcast news database. A result of 16.0% Equal Error Rate (EER) was achieved by using the divergence measure of CCGMM model. When using supervised MD-CCGMM model, 14.6% Equal Error Rate can be achieved.
45#
發(fā)表于 2025-3-29 08:37:41 | 只看該作者
Prosodic Boundary Prediction Based on Maximum Entropy Model with Error-Driven Modificationture selection schemes. A multi-pass prediction approach was adopted. Besides, an error-driven rule-based modification module was introduced into the back end to amend the initial prediction. Experiments showed that this combined approach outperformed many other methods like C4.5 and TBL.
46#
發(fā)表于 2025-3-29 15:17:42 | 只看該作者
47#
發(fā)表于 2025-3-29 16:52:00 | 只看該作者
ASP.NET, C#, and Visual Studio .NET,ires very large computational resources, a corresponding software infrastructure, and a focus on systems building and engineering. In addition to discussing those challenges in MT research, the talk will also give specific examples on how some of the data challenges are being dealt with at Google Re
48#
發(fā)表于 2025-3-29 21:56:26 | 只看該作者
Real-World Decision Support Systemsarkov Model and Conditional Random Fields will be explained. Models for IR such as Language Model and Learning to Rank will be described. A brief survey on recent work on both IE and IR will be given. Finally, some recent work on the combined uses of IE and IR technologies will also be introduced.
49#
發(fā)表于 2025-3-30 00:43:13 | 只看該作者
The Affective and Pragmatic Coding of Prosodyfects, influenced by cultural rules of expression, predominantly affect intonation or pragmatic prosody, even though both processes influence all prosodic production. The push-pull distinction implies that biological marking (push) is directly externalized in motor expression, whereas pull effects (
50#
發(fā)表于 2025-3-30 05:58:43 | 只看該作者
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