The linguistic role of subcortical structures such as the striatum is still controversial. According to the claim that language processing is subdivided into a lexical memory store and a computational rule system (Pinker, 1999) several studies on word morphology (e.g., Ullman et al., 1997) and on syntax (e.g., Teichmann et al., 2005) have suggested that the striatum is specifically dedicated to...

This paper describes a novel approach for grapheme to phoneme conversion using decision tree learning technique. The proposed approach, unlike the rule based approach, can generate rules spanning wider context and thus give better accuracy for the conversion.

The main body of our study derives from the processing of 5 subjects’ reading of a corpus from a Swedish novel. Two of the subjects were females. Intonation contours on a log frequency scale have been sampled and normalised to eliminate differences in mean tonal level and duration. As a result, intonation patterns across speakers are brought out revealing individual performances as well as grou...

Abstract The effect of incidental learning on acquiring the pronunciation phoneme /p/ by Arabic-speaking English as foreign language learners was focus this study. This chosen because it does not exist in phonemic inventory Arabic. Eighth graders studying at Al-Ethra’a Secondary School Alkarak were tested words containing context (pre-test). For three weeks, they taught primary stress target th...

We proposed Text-To-Speech (TTS) synthesis system based on phonetic concatenation for unrestricted input text. The input text is first converted into phonetic transcription using Letter-to-Sound rules. For synthesis of a new speech, TTS system selects the recorded phoneme units (PUs) from database and modifies the duration according to the rule based on spelling using Time Domain Pitch Synchron...

A common task in speech processing for which neural networks are widely employed is text-to-phoneme conversion. In this paper we propose a novel solution to this problem by combining a multilayer neural network and a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. A hybrid solution can be more ra...

In a text-to-speech synthesis system, input words not found in the system's lexicon are passed to letter-to-sound rules, which derive the word's pronunciation. In Welsh, the letter-to-sound rules must be applied in three passes: firstly, to add epenthetic vowels, secondly, to determine stress and vowel location, and thirdly, to perform grapheme-to-phoneme conversion. To begin with, all these le...

Text–to–phoneme conversion is a common problem in speech processing. This can be done using a rule–based system or a neural network. In this paper we propose a solution to this problem using a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. Such a solution can be more rapidly constructed , and is...

A common task in speech processing is text–to– phoneme conversion for which neural networks are widely employed. In this paper we propose a novel solution to this problem by combining multilayer neural network and a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. A hybrid solution can be more rap...