Survey on Various Methods of Text to Speech Synthesis

Text-to-Speech Synthesis

Part-of-Speech Effects on Text-to-Speech Synthesis

One of the goals of text-to-speech (TTS) systems is to produce natural-sounding synthesised speech. Towards this end various natural language processing (NLP) tasks are performed to model the prosodic aspects of the TTS voice. One of the fundamental NLP tasks being used is the part-of-speech (POS) tagging of the words in the text. This paper investigates the effects of POS information on the na...

Text-to-Speech Synthesis for Whispered Speech

Whispering is a modality of speech that is defined as an unvoiced mode of phonation in which the vocal cords do not vibrate, but are adducted sufficiently to create audible turbulence as the speaker exhales during speech [1]. Whispered speech production is found in most world languages and is considered to be one of linguistic universals [2]. The social role of whispering is to communicate info...

Mandarin Text-to-speech Synthesis

This chapter introduces Mandarin Text-To-Speech (MTTS) synthesis. Beginning with a brief review on the development history of MTTS and attributes of MTTS, three main constituents of the technology are presented: 1) Text processing: word segmentation, disambiguation of polyphones, and analysis of rhythm structure; 2) prosodic processing: features of Mandarin prosody, and prosody prediction, and;...

Improving text-to-speech synthesis

Naturalness in human speech is dependent on a number of factors and the extent to which a text-to-speech synthesis system can account for these factors in its model will be a measure of its success in the marketplace. As well as the obvious factors of rhythm and intonation there is the more difficult question of modelling the variability in human speech. This paper discusses how SPRUCE [1], a h...