activity
20192024
most citedDELTA: A DEep learning based Language Technology plAtform

6 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2024

VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing

Chunyu Qiang, Wang Geng, Yi Zhao +12

Deep learning has brought significant improvements to the field of cross-modal representation learning. For tasks such as text-to-speech (TTS), voice conversion (VC), and automatic…

cs.CL2024

An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios

Cheng Gong, Erica Cooper, Xin Wang +9

Self-supervised learning (SSL) representations from massively multilingual models offer a promising solution for low-resource language speech tasks. Despite advancements, language…

cs.SD2023

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

Cheng Gong, Xin Wang, Erica Cooper +5

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…

cs.SD2021

Using multiple reference audios and style embedding constraints for speech synthesis

Cheng Gong, Longbiao Wang, Zhenhua Ling +2

The end-to-end speech synthesis model can directly take an utterance as reference audio, and generate speech from the text with prosody and speaker characteristics similar to the r…

cs.SD2021

Information Sieve: Content Leakage Reduction in End-to-End Prosody For Expressive Speech Synthesis

Xudong Dai, Cheng Gong, Longbiao Wang +1

Expressive neural text-to-speech (TTS) systems incorporate a style encoder to learn a latent embedding as the style information. However, this embedding process may encode redundan…

eess.AS2020★ 4 cited

DiDiSpeech: A Large Scale Mandarin Speech Corpus

Tingwei Guo, Cheng Wen, Dongwei Jiang +8

This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the…

cs.CL2019★ 6 cited

DELTA: A DEep learning based Language Technology plAtform

Kun Han, Junwen Chen, Hui Zhang +20

In this paper we present DELTA, a deep learning based language technology platform. DELTA is an end-to-end platform designed to solve industry level natural language and speech pro…