Search Results for author: Alistair Conkie

Found 4 papers, 0 papers with code

Combining speakers of multiple languages to improve quality of neural voices

no code implementations17 Aug 2021 Javier Latorre, Charlotte Bailleul, Tuuli Morrill, Alistair Conkie, Yannis Stylianou

In this work, we explore multiple architectures and training procedures for developing a multi-speaker and multi-lingual neural TTS system with the goals of a) improving the quality when the available data in the target language is limited and b) enabling cross-lingual synthesis.

Scalable Multilingual Frontend for TTS

no code implementations10 Apr 2020 Alistair Conkie, Andrew Finch

We take a Machine Translation (MT) inspired approach to constructing the frontend, and model both text normalization and pronunciation on a sentence level by building and using sequence-to-sequence (S2S) models.

Chunking Machine Translation +2

Generating Multilingual Voices Using Speaker Space Translation Based on Bilingual Speaker Data

no code implementations10 Apr 2020 Soumi Maiti, Erik Marchi, Alistair Conkie

We demonstrate that a bilingual speaker embedding space contains a separate distribution for each language and that a simple transform in speaker space generated by the speaker embedding can be used to control the degree of accent of a synthetic voice in a language.

Translation

Building Text-To-Speech Voices in the Cloud

no code implementations LREC 2012 Alistair Conkie, Thomas Okken, Yeon-Jun Kim, Giuseppe Di Fabbrizio

The AT{\&}T VoiceBuilder provides a new tool to researchers and practitioners who want to have their voices synthesized by a high-quality commercial-grade text-to-speech system without the need to install, configure, or manage speech processing software and equipment. It is implemented as a web service on the AT{\&}T Speech Mashup Portal. The system records and validates users' utterances, processes them to build a synthetic voice and provides a web service API to make the voice available to real-time applications through a scalable cloud-based processing platform.

Speech Recognition Speech Synthesis

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