Zmm-tts: Zero-shot multilingual and multispeaker speech synthesis conditioned on self-supervised discrete speech representations
Neural text-to-speech (TTS) has achieved human-like synthetic speech for single-speaker,
single-language synthesis. Multilingual TTS systems are limited to resource-rich languages …
single-language synthesis. Multilingual TTS systems are limited to resource-rich languages …
BERTIVITS: The Posterior Encoder Fusion of Pre-Trained Models and Residual Skip Connections for End-to-End Speech Synthesis
Z Wang, M Song, D Zhou - Applied Sciences, 2024 - mdpi.com
Enhancing the naturalness and rhythmicity of generated audio in end-to-end speech
synthesis is crucial. The current state-of-the-art (SOTA) model, VITS, utilizes a conditional …
synthesis is crucial. The current state-of-the-art (SOTA) model, VITS, utilizes a conditional …
An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios
Self-supervised learning (SSL) representations from massively multilingual models offer a
promising solution for low-resource language speech tasks. Despite advancements …
promising solution for low-resource language speech tasks. Despite advancements …
An Effective Contextualized Automatic Speech Recognition Approach Leveraging Self-Supervised Phoneme Features
Years of scholarly efforts have led to extensive studies on end-to-end automatic speech
recognition (E2E ASR), now demonstrating robust performance in everyday applications …
recognition (E2E ASR), now demonstrating robust performance in everyday applications …
From ASR to TTS: Enhancing Synthesis with Cleaned ASR Data
A Surinrangsee, A Thangthai - 2024 19th International Joint …, 2024 - ieeexplore.ieee.org
This paper investigates a novel method for handling with the scarcity of appropriate speech
corpora for Text-to-Speech (TTS) systems in the Thai language by repurposing Automatic …
corpora for Text-to-Speech (TTS) systems in the Thai language by repurposing Automatic …