This paper describes a series of experiments designed to allow VINCI, a natural language generation environment, to produce not just orthographic, but also phonetic output in French with the help of the MBROLA speech generator. In order for this to be possible, it is necessary for the syntactic representation of utterances generated by VINCI to contain phonetic symbols and prosodic information,...

This paper presents a system for automatically generating linguistic questions based on a feature table. Such questions are an essential input for tree-based state tying, a technique which is widely used in speech recognition. In general, in order to utilize this technique, linguistic (or more accurately phonetic) questions have to be carefully defined. This may be extremely time consuming and ...

This paper details the submission from the Speech and Audio Research Lab of Queensland University of Technology (QUT) to the inaugural 2006 NIST Spoken Term Detection Evaluation. The task involved accurately locating the occurrences of a specified list of English terms in a given corpus of broadcast news and conversational telephone speech. The QUT system uses phonetic decoding and Dynamic Matc...

Traditional acoustic-phonetic approach makes use of both spectral and phonetic information when comparing the voice speakers. While units are not equally informative, context speech plays an important role in speaker verification (SV). In this paper, we propose a neural that learns to dynamically assign differentiated weights features for SV. Such form attention mask (PAM). The framework consis...

In this paper, a general framework of acoustic-phonetic modelling is developed. Context sensitive rules are incorporated into a knowledge-based automatic speech recognition (ASR) system and are assessed with control based on fuzzy decision making. The reliability measure is outlined: a tests collection is run and a confusion matrix is built for each rule. During the recognition procedure the fu...

An isolated-word speech recognition system, built without the use of linear segments for acoustic modelling or lexical access, is justified, described and demonstrated. The system comprises phonetic feature analysis operating on four independent tiers, parallel phonotactic parsing, and lexical access based on a neural-network inspired lexicon structure. Performance is however still inferior to ...

Background: Employee participation in the organization and hearing their voices is one of the ways to increase and strengthen the spirit of criticism and teamwork with the aim of increasing productivity in organizations. The purpose of this study is to develop a model of ethical components of participation in the phonetic behavior of employees. Method: The research method is heuristic. The sta...

We face many options when designing a system that automatically generates prosody from linguistic and paralinguistic information. The literature provides several candidate phonetic models, phonological models and mapping tools to actually implement the system. We detail here some dimensions along which these models have to be compared. We show also that systems employing quite similar phonetic ...

This paper describes the design and implementation of the practical language learning system, and the result of the automatic pronunciation scoring for non-native English speakers. Implementing the speech recognizer, featured as two refined acoustic model sets, noise-robust data compensation, phonetic alignment, reliable rejection, etc., and by using knowledge-based acoustic-phonetic parameter ...

The objective of this project is to develop a robust and high-performance speech recognitiotl system using a segment-based approach to phonetic recognition. The recognition system will eventually be integrated with natural language processing to achieve spoken lallguagc understanding. Developed a phonetic recognition front-end and achieved 77% and 71% classiilcatiou accuracy under speaker-depen...