Text to speech synthesis and diphones (original) (raw)

Design and Development of a Text-To-Speech Synthesizer System

This paper describes the design and development of TTS. This paper describes the overview of different types of synthesis system. One approach to the generation of natural-sounding synthesized speech waveforms is to select and concatenate units from a large speech database. The system used the Syllabication procedure and Phones and Diphones. I. Introduction Speech synthesizer or Text to speech Synthesizer is most widely used system in speech technology. We have various text to speech synthesizer systems available like Festival, Multilingual and Flite etc. A Text-To-Speech (TTS) synthesizer is a computer-based system that should be able to read any text aloud, whether it was directly introduced in the computer by an operator or scanned and submitted to an Optical Character Recognition (OCR) system. As such, the process of TTS conversion allows the transformation of a string of phonetic and prosodic symbols into a synthetic speech signal. The quality of the result produced by a TTS sy...

Text - To - Speech Synthesis (TTS)

Speech is one of the oldest and most natural means of information exchange between human. Over the years, Attempts have been made to develop vocally interactive computers to realise voice/speech synthesis. Obviously such an interface would yield great benefits. In this case a computer can synthesize text and give out a speech. Text-To-Speech Synthesis is a Technology that provides a means of converting written text from a descriptive form to a spoken language that is easily understandable by the end user (Basically in English Language). It runs on JAVA platform, and the methodology used was Object Oriented Analysis and Development Methodology; while Expert System was incorporated for the internal operations of the program. This design will be geared towards providing a one-way communication interface whereby the computer communicates with the user by reading out textual document for the purpose of quick assimilation and reading development.

The Main Principles of Text-to-Speech Synthesis System

2010

Abstract—In this paper, the main principles of text-to-speech synthesis system ,are presented. Associated problems ,which ,arise when,developing ,speech ,synthesis system ,are described. Used approaches and their application in the speech synthesis systems for Azerbaijani language are shown. Keywords—synthesis of Azerbaijani language, morphemes, phonemes, sounds, sentence, speech synthesizer, intonation, accent, pronunciation.

INDONESIAN TEXT-TO-SPEECH SYSTEM USING DIPHONE CONCATENATIVE SYNTHESIS

In this paper, we describe the design and develop a database of Indonesian diphone synthesis using speech segment of recorded voice to be converted from text to speech and save it as audio file like WAV or MP3. In designing and develop a database of Indonesian diphone there are several steps to follow; First, developed Diphone database includes: create a list of sample of words consisting of diphones organized by prioritizing looking diphone located in the middle of a word if not at the beginning or end; recording the samples of words by segmentation. ;create diphones made with a tool Diphone Studio 1.3. Second, develop system using Microsoft Visual Delphi 6.0, includes: the conversion system from the input of numbers, acronyms, words, and sentences into representations diphone. There are two kinds of conversion (process) alleged in analyzing the Indonesian text-to-speech system. One is to convert the text to be sounded to phonem and two, to convert the phonem to speech. Method used in this research is called Diphone Concatenative synthesis, in which recorded sound segments are collected. Every segment consists of a diphone (2 phonems). This synthesizer may produce voice with high level of naturalness. The Indonesian Text to Speech system can differentiate special phonemes like in ‘Beda’ and ‘Bedak’ but sample of other spesific words is necessary to put into the system. This Indonesia TTS system can handle texts with abbreviation, there is the facility to add such words.

A Text to Speech Conversion Engine

A Text to Speech (TTS) Synthesizer is a computer application that is capable of reading out typed text. This generally involves two steps, text processing and speech generation.

Diphone preparation for Bangla text to speech synthesis

This paper presents methodologies involved in diphone preparation for Bangla text to speech synthesis. A concatenation based synthesis system comprises basically two modules- one is natural language processing and other is digital signal processing (DSP). Natural language processing implies converting text to its pronounceable text, called text normalization and the diphone selection method based on the normalized text is called Graphene to Phoneme (G2P) conversion. We developed a speech synthesizer for Bangla using diphone based concatenative approach. Diphone preparation, labeling and selection techniques are described in this paper.

Tutorial -Speech Synthesis System

Speech synthesis we can, in theory, mean any kind of synthetization of speech. For example, it can be the process in which a speech decoder generates the speech signal based on the parameters it has received through the transmission line, or it can be a procedure performed by a computer to estimate some kind of a presentation of the speech signal given a text input. Since there is a special course about the codecs (Puheen koodaus, Speech Coding), this chapter will concentrate on text-to-speech synthesis, or shortly TTS, which will be often referred to as speech synthesis to simplify the notation. Anyway, it is good to keep in mind that irrespective of what kind of synthesis we are dealing with, there are similar criteria in regard to the speech quality. We will return to this topic after a brief TTS motivation, and the rest of this chapter will be dedicated to the implementation point of view in TTS systems. Text-to-speech synthesis is a research field that has received a lot of attention and resources during the last couple of decades – for excellent reasons. One of the most interesting ideas (rather futuristic, though) is the fact that a workable TTS system, combined with a workable speech recognition device, would actually be an extremely efficient method for speech coding). It would provide incomparable compression ratio and flexible possibilities to choose the type of speech (e.g., breathless or hoarse), the fundamental frequency along with its range, the rhythm of speech, and several other effects. Furthermore, if the content of a message needs to be changed, it is much easier to retype the text than to record the signal again. Unfortunately this kind of a system does not yet exist for large vocabularies. Of course there are also numerous speech synthesis applications that are closer to being available than the one discussed above. For instance, a telephone inquiry system where the information is frequently updated, can use TTS to deliver answers to the customers. Speech synthesizers are also important to the visually impaired and to those who have lost their ability to speak. Several other examples can be found in everyday life, such as listening to the messages and news instead of reading them, and using hands-free functions through a voice interface in a car, and so on.