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Titlebook: Analysis of Verbal and Nonverbal Communication and Enactment.The Processing Issues; COST 2102 Internatio Anna Esposito,Alessandro Vinciarel

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樓主: 氣泡
11#
發(fā)表于 2025-3-23 11:10:24 | 只看該作者
Imitation of Target Speakers by Different Types of Impersonatorsand the target was obtained for the amateur, whose imitations were, however, subjectively evaluated as the worst ones. Thus, except for acoustical parameters, other factors, like qualification and experience of the impersonator, are very important in realization of impersonation tasks.
12#
發(fā)表于 2025-3-23 15:45:43 | 只看該作者
13#
發(fā)表于 2025-3-23 21:46:59 | 只看該作者
Using TTS for Fast Prototyping of Cross-Lingual ASR Applicationsa partly restricted phoneme recognizer. We demonstrate the method on Czech-to-Polish adaptation of two prototype systems, one aimed at handicapped persons and another prepared for fluent dictation with large vocabulary.
14#
發(fā)表于 2025-3-24 01:43:25 | 只看該作者
Extracting Sentence Elements for the Natural Language Understanding Based on Slovak National Corpuscomponents. The morphological analyzer uses data obtained from the Slovak National Corpus. The syntactic analyzer uses context-free grammars. Several evaluation experiments were done with limited range of sentences for obtaining information about success of the proposed approach.
15#
發(fā)表于 2025-3-24 05:52:37 | 只看該作者
16#
發(fā)表于 2025-3-24 07:12:13 | 只看該作者
17#
發(fā)表于 2025-3-24 11:03:04 | 只看該作者
18#
發(fā)表于 2025-3-24 14:59:10 | 只看該作者
Dynamic Network User Equilibriumsful detection rate equal to 98.98% and 92.19% in case of microphone mismatch. During verification, system reached equal error rate 2.55% and 6.77% when assuming the microphone mismatch. System was tested using Catalan database which consists of 48 speakers (three 3s training samples per speaker).
19#
發(fā)表于 2025-3-24 21:46:33 | 只看該作者
20#
發(fā)表于 2025-3-25 02:07:49 | 只看該作者
https://doi.org/10.1007/978-1-4615-5581-0st that these cues are reliable cues for the detection of distinct levels of participants involvement in conversation. This will allow for the development of a statistical model which is able to classify these stages of involvement. Our data indicate that involvement may be a scalar phenomenon.
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