表示向下
发表于 2025-3-27 00:17:00
https://doi.org/10.1007/978-1-4757-3413-3Intonation; Klang; Phonem; artificial intelligence; communication; corpus; intelligence; learning; machine l
使坚硬
发表于 2025-3-27 01:36:57
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Nuance
发表于 2025-3-27 05:51:23
Estimation of Parameters for the Klatt Synthesizer from a Speech Database,al finesse. We employ a combination of techniques, including automatic analysis of acoustic properties from a speech database, using commonly available speech analysis tools, as well as ‘tricks of the trade’ learned through the trials of bitter experience.
严重伤害
发表于 2025-3-27 12:22:01
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PAEAN
发表于 2025-3-27 17:29:21
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自恋
发表于 2025-3-27 21:43:30
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GLOSS
发表于 2025-3-27 22:57:25
A Hierarchical Lexical Representation for Pronunciation Generation,rent utilization in language applications. Our hierarchical lexical representation encompasses information such as morphology, stress, syllabification, phonemics and graphemics. Each occupies a distinct stratum in the hierarchy, and the constraints they provide are administered in parallel during ge
流动才波动
发表于 2025-3-28 02:48:49
English Letter-Phoneme Conversion by Stochastic Transducers,eric word structures can be described by a simple regular grammar which usually overgenerates, producing many candidate translations. The ‘best’ candidate is selected based on the maximum likelihood criterion and the stochastic translation is assumed to be a Markov chain. The initial grammar allows
perimenopause
发表于 2025-3-28 08:27:26
Selection of Multiphone Synthesis Units and Grapheme-to-Phoneme Transcription Using Variable-Lengths ...depending on the level of representation. At each level of representation, specific constraints like phonotactical, morphological or grammatical constraints apply, greatly reducing the possible combinations of symbols and introducing statistical dependencies between them. Numerous probabilistic
闲逛
发表于 2025-3-28 11:16:02
Treetalk: ,ms. The main advantage of memory-based data-driven techniques is their high accuracy; the main disadvantage is processing speed. We introduce a hybrid between memory-based and decision-tree-based learning (TRIBL) which optimises the trade-off between efficiency and accuracy. TRIBL was used in ., a m