魅力
发表于 2025-3-26 21:35:59
Articulatory Gesture Rich Representation Learning of Phonological Units in Low Resource Settingslower dimensional manifold embedded richly inside the higher-dimensional spectral features like MFCC and PLP. Linguistic or phonetic units of speech can be broken down to a legal inventory of articulatory gestures shared across several phonemes based on their manner of articulation. We intend to dis
somnambulism
发表于 2025-3-27 02:27:13
Estimating the Severity of Parkinson’s Disease Using Voiced Ratio and Nonlinear Parameterstween acoustic features and the UPDRS severity. The applied acoustic features were the followings: voicing ratio (VR), nonlinear recurrence: the normalized recurrence probability density entropy (.) and fractal scaling: the scaling exponent (.). High diversity is found according to the type of speec
Override
发表于 2025-3-27 05:38:08
Optimal Feature Set and Minimal Training Size for Pronunciation Adaptation in TTSe, the TTS quality drops when phoneme sequences generated by this converter are inconsistent with those labeled in the speech corpus on which the TTS system is built, or when a given expressivity is desired. To solve this problem, the present work aims at automatically adapting generated pronunciati
Morose
发表于 2025-3-27 11:15:58
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我不明白
发表于 2025-3-27 16:10:50
Class n-Gram Models for Very Large Vocabulary Speech Recognition of Finnish and Estonianeral millions of words using automatically derived classes. To evaluate the models on Finnish and an Estonian broadcast news speech recognition task, we modify Aalto University’s LVCSR decoder to operate with the class n-grams and very large vocabularies. Linear interpolation of a standard n-gram mo
RODE
发表于 2025-3-27 20:26:21
Combining Syntactic and Acoustic Features for Prosodic Boundary Detection in Russianing the two groups of features yields the efficiency of 0.90, recall of 0.85 and precision of 0.99. It preserves the high recall provided by textual information and the high precision achieved using acoustic information. This is the best published result for Russian.
骚扰
发表于 2025-3-27 22:12:02
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negligence
发表于 2025-3-28 02:52:55
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头盔
发表于 2025-3-28 09:31:12
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法官
发表于 2025-3-28 11:04:06
Delexicalized and Minimally Supervised Parsing on Universal Dependenciesage attachment score of our parser is slightly lower then the delexicalized transfer parser, however, it performs better for languages from less resourced language families (non-Indo-European) and is therefore suitable for those, for which the treebanks often do not exist.