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Jan 28, 2015. The automatic syllabification process is an essential prerequisite for speech synthesis systems. However, the task is not trivial, and several techniques have been adopted over the last decade. Furthermore, while there are many public resources for some languages (e.g., English and.
Text-to-speech (TTS) is considered not just very innovative but also a very mature technology and an important tool to provide or increase the functional abilities of people with disabilities. It consists in converting natural language texts into synthesized speech [ ]. The TTS procedure consists of two main phases. The first one is Natural Language Processing (NLP), also known as the front-end module, where the input text is transcribed into a phonetic or some other linguistic representation, and the second one is Digital Signal Processing (DSP), or the back-end module, where the acoustic output is produced from this phonetic and prosodic information. A simplified version of the procedure is presented in Figure. This paper extends the linguistic rules presented in [, ].
The main idea of these algorithms is that all the syllables have a vowel as a nucleus, and this vowel can be surrounded by consonants, semi-vowels (or glides), or other vowels. Hence, one should locate the vowel that composes the syllable nuclei and isolate it from the other graphemes or not. The algorithm proposed by [ ] is based on orthography but also considers phonological preestablished criteria (e.g., the spelling double is represented by a single phoneme [ R] so is grouped and associated to only one potential syllable, like in the word ‘carro’ ). There is a set of 20 original rules and a hierarchical order of application is assumed. First, the more specific rules are considered until a general case (the last rule) is reached.
The rules, as previously mentioned, consider the kind and the arrangement of graphemes to split the syllables of an input word. However, there are words, especially the ones with diphthongs (i.e. Launch X431 Cracked Software Download here. , combinations of vowels and semi-vowels), whose syllabification is very difficult to perform correctly when we consider only these two criteria, since a number of very specific and well-elaborated rules would be required in order to deal with just a few examples. In order to overcome this difficulty, the work developed in [ ] added two new rules to the set proposed by [ ] considering also the stress feature. The main motivation for analyzing the diphthongs comes from the perception of existing divergences between the scholars on such subject (like the position of a glide, inside a syllable, in the falling diphthongs, that was explained in [ ]). Another point that ratifies the focus adopted in [ ] is the fact that diphthongs, especially the ones with rising sonority, have presented misconceptions in the syllabification performed by [ ]. The proposed syllabification algorithm for BP is implemented by means of C# program language and is based on the 20 rules designed in [ ], plus the two rules added by [ ], including the stressed vowel brand and new improvements. All the rules are based on orthography and do not focus in any BP dialect.
In fact, phonological criteria are also considered in this work, but only the classical ones, where the grapheme sequence is admittedly represented by a single phoneme. Figure illustrates the architecture of the proposed system. It was added the check of liquid consonants to the conditional loop of rule 2, besides the original presence of stop consonants. This addition corrected the syllabification of few words, such as ‘adpresso’ and ‘ecplexia’, which are not treated by the reference algorithm [ ]. The modification made to the rule 3 reached words like ‘exceto,’ which the original syllabification follows the orthography (). The letter represents the most variable consonant sound in Portuguese. Its pronunciation depends on the letters before and after it.
In this context, [ ] suggested that the phonology conditional statement: →[ s] is needed for the combination, to prevent other rules from forming a doubled sound [ ss]. Therefore, the rule 3 was modified to keep the consonantal sequence in the same syllable ().
The rule 4 is a discussion of consonants not followed by vowel (or voiceless consonants). On the original rule, the voiceless consonant is joined to the next syllable (e.g., ‘advogar’ ). Although the existence of an empty nucleus is hypothesized [ ] (i.e., the word is in actually pronounced with an additional syllable, like ‘ad ivogar’), this work chose to follow the orthography and other studies [ ] and kept the voiceless consonant in the same syllable (e.g., ‘advogar’ ). The group formed by the rules 6 to 20 treats the syllables that begin with consonants.
A summary of the modified rules can be seen in Algorithm 2. Initially, it was observed that uncommon words were not correctly separated by the rule 13 (e.g., ‘acampsia’ ). Thus, the nasal consonants were added to the original condition in order to solve these faults. As a consequence, the exemplified syllabic splitting was updated to. A conditional statement was also added to treat hiatus formed by the grapheme sequence, like in the verb ‘fluir’ ).
Download Crack Photoshop Cs6 32/64 Bit Ita. The proposed rule 15 follows the same logic applied to the rule 4 with respect to the voiceless consonants. For instance, the syllabic splitting defined for the word ‘captar’ is, instead of, as presented in [ ].
Finally, the rule 19 was improved to treat specific hiatus (vowel + vowel) not considered in the analyses made by [, ]. Since this kind of vocalic sequence has a strong presence in the Portuguese lexicon, this modified rule is an important contribution of this work. Examples can be seen in ‘ ’ section. Regarding the algorithm for determining the stressed vowel, it is based on a set of rules described in [ ]. The 19 original rules (including the general case) were implemented in hierarchical order and the output character (i.e., the stressed vowel) is used as input to the splitting rules designed by [ ]. All the developed syllabification resources like source codes, libraries, dictionaries, test results, and log files are publicly available [ ]. Having presented a summary of the proposed syllabification tool for BP, the next section discusses some results achieved.
Results and discussion. The description of a syllabification tool with its corresponding characteristics was performed in this paper. A set of rules that marks the stressed vowel was also presented.
In fact, after making available resources [ ], the goal is to establish a baseline system and enable the comparison of results among research groups. According to tests carried out on the CETEN-Folha database, it was shown that application of rules is a good method for BP automatic syllabification. It can keep up with new words and does not need large computational resources. Aiming at investigating the value of the information input to a TTS system, it was verified, according to some subjective experiments, that the determination of the syllable boundaries represents an important issue in order to achieve synthesized speech with good quality. Also, according to a MOS test performed with listeners not familiarized with the speech processing area, the syllabification tool in question performed well when compared to previous researches. Future work include.
• Improving the stress determination rules; • Checking the feasibility of implementing new types of syllable structures based on a phonetic and acoustic perspective only [ ]; • Comparing the proposed rule-based algorithm with some machine learning approaches, since this work releases a big dictionary; • Verifying the new orthographic form of Portuguese. Would the new one represent any difference in the proposed syllabification splitting? It seems to be very likely, since the graphic accent rules were modified, and some words are no longer marked.