標(biāo)題: Titlebook: Data-Driven Techniques in Speech Synthesis; Robert I. Damper Book 2001 Springer Science+Business Media Dordrecht 2001 Intonation.Klang.Pho [打印本頁(yè)] 作者: 諷刺文章 時(shí)間: 2025-3-21 17:44
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書(shū)目名稱Data-Driven Techniques in Speech Synthesis讀者反饋
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作者: 或者發(fā)神韻 時(shí)間: 2025-3-21 20:15 作者: acclimate 時(shí)間: 2025-3-22 01:39 作者: PTCA635 時(shí)間: 2025-3-22 06:18
Book 2001 analysis, letter-to-sound conversion, prosodicmarking and extraction of parameters to drive synthesis hardware..Fuelled by cheap computer processing and memory, the fields of machinelearning in particular and artificial intelligence in general areincreasingly exploiting approaches in which large da作者: 簡(jiǎn)潔 時(shí)間: 2025-3-22 10:40
Heinrich C. Mayr,Willem-Jan van den Heuvelunciation must exactly match the dictionary pronunciation to be correct) on an unseen 1000-word test set. Based on the judgements of three human listeners in a blind assessment study, our system was estimated to have a serious error rate of 16.7% (on whole words) compared to 26.1% for the DECtalk 3.0 rule base.作者: Blasphemy 時(shí)間: 2025-3-22 13:54
https://doi.org/10.1007/978-3-031-02195-4ionary — a frequency-tagged corpus — and uses analogy to generate the pronunciation of words not in the dictionary. A range of implementational choices is discussed and the effectiveness of the model for (British) English, German and Māori demonstrated.作者: Blasphemy 時(shí)間: 2025-3-22 20:45
https://doi.org/10.1007/978-3-031-02195-4ere, a string of symbols is viewed as a concatenation of independent variable-length subsequences of symbols. The ability of the multigram model to learn relevant subsequences of phonemes is illustrated by the selection of multiphone units for speech synthesis.作者: 手術(shù)刀 時(shí)間: 2025-3-22 21:18 作者: Cervical-Spine 時(shí)間: 2025-3-23 02:29
Ali Fuad Selvi,Nathanael Rudolphwhich in turn are used to predict accent and phrasing decisions for text-to-speech. Rules generated by these methods achieve more than 95% accuracy for phrasing decisions and 85% for prominence assignment.作者: 繁重 時(shí)間: 2025-3-23 06:38 作者: 增減字母法 時(shí)間: 2025-3-23 13:08
Analogy, the Corpus and Pronunciation,ionary — a frequency-tagged corpus — and uses analogy to generate the pronunciation of words not in the dictionary. A range of implementational choices is discussed and the effectiveness of the model for (British) English, German and Māori demonstrated.作者: neologism 時(shí)間: 2025-3-23 15:06 作者: 解凍 時(shí)間: 2025-3-23 20:10
,Learnable Phonetic Representations in a Connectionist TTS System — I: Text to Phonetics,honetic and phonological sources of variability, and their separation from the underlying physical and temporal events. As far as possible, this phonetic/phonological capability should be built into the system prior to training on the main task at hand, as this corresponds more closely to the way these skills are acquired in human beings.作者: penance 時(shí)間: 2025-3-24 00:05 作者: AWE 時(shí)間: 2025-3-24 04:33 作者: Buttress 時(shí)間: 2025-3-24 08:57 作者: aphasia 時(shí)間: 2025-3-24 14:01
Bart Orri?ns,Jian Yang,Mike P. Papazoglou the form of text input, so the main focus of development is text-to-speech (TTS) synthesis. Strongly influenced by the academic traditions of generative linguistics, early work on TTS systems took it as axiomatic that a knowledge-based approach was essential to successful implementation. Presumed t作者: 蒙太奇 時(shí)間: 2025-3-24 15:10 作者: infarct 時(shí)間: 2025-3-24 19:36 作者: 慷慨援助 時(shí)間: 2025-3-25 00:08 作者: Flavouring 時(shí)間: 2025-3-25 03:30 作者: Grasping 時(shí)間: 2025-3-25 10:03
https://doi.org/10.1007/978-3-031-02195-4s ...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作者: Exuberance 時(shí)間: 2025-3-25 13:34 作者: mercenary 時(shí)間: 2025-3-25 17:07 作者: Chauvinistic 時(shí)間: 2025-3-25 22:40 作者: Ligneous 時(shí)間: 2025-3-26 02:54 作者: commonsense 時(shí)間: 2025-3-26 05:20 作者: Fibrin 時(shí)間: 2025-3-26 10:58 作者: 拖網(wǎng) 時(shí)間: 2025-3-26 13:00
Telecommunications Technology & Applications Serieshttp://image.papertrans.cn/d/image/263321.jpg作者: Nebulous 時(shí)間: 2025-3-26 19:05
I??l Günseli Ka?ar,Yasemin Bayyurtal 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.作者: 表示向下 時(shí)間: 2025-3-27 00:17
https://doi.org/10.1007/978-1-4757-3413-3Intonation; Klang; Phonem; artificial intelligence; communication; corpus; intelligence; learning; machine l作者: 使堅(jiān)硬 時(shí)間: 2025-3-27 01:36 作者: Nuance 時(shí)間: 2025-3-27 05:51
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.作者: 嚴(yán)重傷害 時(shí)間: 2025-3-27 12:22 作者: PAEAN 時(shí)間: 2025-3-27 17:29 作者: 自戀 時(shí)間: 2025-3-27 21:43 作者: GLOSS 時(shí)間: 2025-3-27 22:57
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作者: 流動(dòng)才波動(dòng) 時(shí)間: 2025-3-28 02:48
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 作者: perimenopause 時(shí)間: 2025-3-28 08:27
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作者: 閑逛 時(shí)間: 2025-3-28 11:16
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作者: 酷熱 時(shí)間: 2025-3-28 17:23
,Learnable Phonetic Representations in a Connectionist TTS System — I: Text to Phonetics,ful part to play in the design of a synthesis system. A similar strategy suggests itself in the subsequent stage when speech is produced from the intermediate representation, which makes it possible to bypass a symbolic, phonemic stage in the overall system, once trained. (This second stage is dealt作者: intrigue 時(shí)間: 2025-3-28 18:44 作者: Stress-Fracture 時(shí)間: 2025-3-29 02:02 作者: wangle 時(shí)間: 2025-3-29 05:54 作者: 可互換 時(shí)間: 2025-3-29 10:37
,Learnable Phonetic Representations in a Connectionist TTS System — II: Phonetics to Speech,netic’) representations — based on trajectories through a ‘phonetic’ space derived from a self-organising map — may play a useful part in deriving pronunciations from text. A similar strategy suggests itself for the subsequent stage in which synthetic speech is produced from the ‘phonetic’ represent作者: 縮影 時(shí)間: 2025-3-29 13:06 作者: 鎮(zhèn)痛劑 時(shí)間: 2025-3-29 18:42
https://doi.org/10.1007/978-3-031-02195-4nseen test set, and achieved a parse coverage of 94%, with a word accuracy of 71.8% and a phoneme accuracy of 92.5% using a set of 52 phonemes. We have also conducted experiments to assess empirically (a) the relative contribution of each linguistic layer towards generation accuracy, and (b) the rel作者: 戲服 時(shí)間: 2025-3-29 21:45
Start with the Conceptual Model,ficient translation, the transducers were implemented as stochastic generalised sequential Moore machines so that useless intermediate states in translation and Markov probabilities can be eliminated and reduced, respectively. The current translation accuracy on a per symbol basis is 93.7% on a repr作者: Influx 時(shí)間: 2025-3-30 02:12
Eduardo F. Mortimer,Charbel N. El-Hani generated contours was tested against unseen data and compares favourably with similar experiments done on the same database using different intonation theories. A detailed discussion of the features and results is given, including comparison with related work.作者: 慢跑 時(shí)間: 2025-3-30 06:57
Book 2001dingedge of current research, written by well respected experts in thefield. The text is concise and accessible, and guides the readerthrough the new technology. The book will primarily appeal to researchengineers and scientists working in the area of speech synthesis.However, it will also be of int作者: Aggrandize 時(shí)間: 2025-3-30 11:57
at the leadingedge of current research, written by well respected experts in thefield. The text is concise and accessible, and guides the readerthrough the new technology. The book will primarily appeal to researchengineers and scientists working in the area of speech synthesis.However, it will also be of int978-1-4419-4733-8978-1-4757-3413-3
