ASR2K: Speech recognition for around 2000 languages without audio
X Li, F Metze, DR Mortensen, AW Black… - ar**, features input, and source language selection
P Do, M Coler, J Dijkstra, E Klabbers - ar** method and using phonological
features input in transfer learning for TTS in low-resource languages. We use diverse source …
features input in transfer learning for TTS in low-resource languages. We use diverse source …
GE2PE: Persian End-to-End Grapheme-to-Phoneme Conversion
Abstract Text-to-Speech (TTS) systems have made significant strides, enabling the
generation of speech from grapheme sequences. However, for low-resource languages …
generation of speech from grapheme sequences. However, for low-resource languages …
The SIGMORPHON 2022 Shared Task on Cross-lingual and Low-Resource Grapheme-to-Phoneme Conversion
Grapheme-to-phoneme conversion is an important component in many speech
technologies, but until recently there were no multilingual benchmarks for this task. The third …
technologies, but until recently there were no multilingual benchmarks for this task. The third …
Text-Inductive Graphone-Based Language Adaptation for Low-Resource Speech Synthesis
Neural text-to-speech (TTS) systems have made significant progress in generating natural
synthetic speech. However, neural TTS requires large amounts of paired training data …
synthetic speech. However, neural TTS requires large amounts of paired training data …
Meta Learning Text-to-Speech Synthesis in over 7000 Languages
In this work, we take on the challenging task of building a single text-to-speech synthesis
system that is capable of generating speech in over 7000 languages, many of which lack …
system that is capable of generating speech in over 7000 languages, many of which lack …