A Simplified Overview of Text-To-Speech Synthesis (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.

Text analysis and word pronunciation in text-to-speech synthesis

Advances in speech signal processing, 1992

A text-to-speech (TTS) system maps a sequence of numbers representing the characters of a text into another sequence of numbers representing the samples of an acoustic waveform. It is convenient to divide this mapping into four types of processing, which may be called text analysis, word pronunciation, phonetic interpretation, and signal generation.

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.

An overview of text-to-speech synthesis techniques

2010

The goal of this paper is to provide a short but comprehensive overview of text-to-speech synthesis by highlighting its natural language processing (NLP) and digital signal processing (DSP) components. First, the front-end or the NLP component comprised of text analysis, phonetic analysis, and prosodic analysis is introduced then two rule-based synthesis techniques (formant synthesis and articulatory synthesis) are explained. After that concatenative synthesis is explored. Compared to rulebased synthesis, concatenative synthesis is simpler since there is no need to determine speech production rules. However, concatenative synthesis introduces the challenges of prosodic modification to speech units and resolving discontinuities at unit boundaries. Prosodic modification results in artifacts in the speech that make the speech sound unnatural. Unit selection synthesis, which is a kind of concatenative synthesis, solves this problem by storing numerous instances of each unit with varying prosodies. The unit that best matches the target prosody is selected and concatenated. Finally, hidden Markov model (HMM) synthesis is introduced.

A Comparative Study of Different Text-to- Speech Synthesis Techniques

Speech synthesis is the artificial production of human speech. Attempts to control the quality of voice of synthesized speech have existed for more than a decade now. Several prototypes and fully operating systems also have been built based on different synthesis technique. This article reviews recent advances in research and development of speech synthesis with focus on one of the key approaches i.e. statistical parametric approach to speech synthesis based on HMM, so as to provide a technological perspective. In this approach, spectrum, excitation, and duration of speech are simultaneously modeled by context dependent HMMs, and speech waveforms are generated from the HMMs themselves. This paper aims to give an overview of what has been done in this field, summarize and compare the characteristics of various speech synthesis techniques used.

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.