Text to Speech (TTS) synthesis is a process of translating natural language text into speech.
Pieces of recorded speech generate synthesized speech and a database is maintained for …

We describe the design and findings of the SIGMORPHON 2020 shared task on multilingual
grapheme-to-phoneme conversion. Participants were asked to submit systems which take in …

Abstract Simple4All Tundra (version 1.0) is the first release of a standardised multilingual
corpus designed for text-to-speech research with imperfect or found data. The corpus …

This paper describes the ALISA tool, which implements a lightly supervised method for
sentence-level alignment of speech with imperfect transcripts. Its intended use is to enable …

To automatically build, from scratch, the language processing component for a speech
synthesis system in a new language, a purified text corpora is needed where any words and …

The goal in this paper is to investigate data selection techniques for found speech. Found
speech unlike clean, phoneticallybalanced datasets recorded specifically for synthesis …

This paper describes the text-to-speech system entered by The Centre for Speech
Technology Research into the 2016 Blizzard Challenge. This system is a hybrid synthesis …

Text-to-speech synthesis (TTS) has progressed to such a stage that given a large, clean,
phonetically balanced dataset from a single speaker, it can produce intelligible, almost …

This paper presents a complete statistical speech synthesizer for Myanmar which includes a
syllable segmenter, text normalizer, grapheme-to-phoneme convertor, and an HMM-based …

This work investigates techniques that select training data from small, found corpuses in
order to improve the naturalness of synthesized text-to-speech voices. The approach …