activity
20172022
most citedTowards Realistic Visual Dubbing with Heterogeneous Sources

34 citations · 142 across the 18 of their papers we have counts for

collaborators

18 papers

cs.SD2022

Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusion

Haibin Wu, Jiawen Kang, Lingwei Meng +5

Recent years have witnessed the extraordinary development of automatic speaker verification (ASV). However, previous works show that state-of-the-art ASV models are seriously vulne…

cs.CL2022

Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization

Evelina Bakhturina, Yang Zhang, Boris Ginsburg

Text normalization (TN) systems in production are largely rule-based using weighted finite-state transducers (WFST). However, WFST-based systems struggle with ambiguous input when…

cs.CV2022★ 34 cited

Towards Realistic Visual Dubbing with Heterogeneous Sources

Tianyi Xie, Liucheng Liao, Cheng Bi +7

The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video. Albeit moderate improvements in current appro…

cs.CL2021★ 3 cited

Revisiting IPA-based Cross-lingual Text-to-speech

Haitong Zhang, Haoyue Zhan, Yang Zhang +2

International Phonetic Alphabet (IPA) has been widely used in cross-lingual text-to-speech (TTS) to achieve cross-lingual voice cloning (CL VC). However, IPA itself has been unders…

eess.AS2021

Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech

Haoyue Zhan, Xinyuan Yu, Haitong Zhang +2

In this paper, we study the disentanglement of speaker and language representations in non-autoregressive cross-lingual TTS models from various aspects. We propose a phoneme length…

cs.CL2021★ 7 cited

A Unified Transformer-based Framework for Duplex Text Normalization

Tuan Manh Lai, Yang Zhang, Evelina Bakhturina +2

Text normalization (TN) and inverse text normalization (ITN) are essential preprocessing and postprocessing steps for text-to-speech synthesis and automatic speech recognition, res…

cs.CL2021★ 4 cited

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services

Yang Zhang, Vahid Noroozi, Evelina Bakhturina +1

Dialogue state tracking is an essential part of goal-oriented dialogue systems, while most of these state tracking models often fail to handle unseen services. In this paper, we pr…

cs.CL2021★ 2 cited

NeMo Inverse Text Normalization: From Development To Production

Yang Zhang, Evelina Bakhturina, Kyle Gorman +1

Inverse text normalization (ITN) converts spoken-domain automatic speech recognition (ASR) output into written-domain text to improve the readability of the ASR output. Many state-…

eess.AS2021★ 7 cited

Hi-Fi Multi-Speaker English TTS Dataset

Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg +1

This paper introduces a new multi-speaker English dataset for training text-to-speech models. The dataset is based on LibriVox audiobooks and Project Gutenberg texts, both in the p…

cs.SD2020★ 15 cited

Unified Mandarin TTS Front-end Based on Distilled BERT Model

Yang Zhang, Liqun Deng, Yasheng Wang

The front-end module in a typical Mandarin text-to-speech system (TTS) is composed of a long pipeline of text processing components, which requires extensive efforts to build and i…

eess.AS2020★ 5 cited

Improving RNN transducer with normalized jointer network

Mingkun Huang, Jun Zhang, Meng Cai +5

Recurrent neural transducer (RNN-T) is a promising end-to-end (E2E) model in automatic speech recognition (ASR). It has shown superior performance compared to traditional hybrid AS…

eess.AS2020★ 2 cited

Dynamic latency speech recognition with asynchronous revision

Mingkun Huang, Meng Cai, Jun Zhang +4

In this work we propose an inference technique, asynchronous revision, to unify streaming and non-streaming speech recognition models. Specifically, we achieve dynamic latency with…

cs.CL2020★ 11 cited

BioMegatron: Larger Biomedical Domain Language Model

Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina +4

There has been an influx of biomedical domain-specific language models, showing language models pre-trained on biomedical text perform better on biomedical domain benchmarks than t…

cs.LG2020★ 10 cited

A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset

Vahid Noroozi, Yang Zhang, Evelina Bakhturina +1

Dialog State Tracking (DST) is one of the most crucial modules for goal-oriented dialogue systems. In this paper, we introduce FastSGT (Fast Schema Guided Tracker), a fast and robu…

eess.AS2020★ 17 cited

ByteSing: A Chinese Singing Voice Synthesis System Using Duration Allocated Encoder-Decoder Acoustic Models and WaveRNN Vocoders

Yu Gu, Xiang Yin, Yonghui Rao +6

This paper presents ByteSing, a Chinese singing voice synthesis (SVS) system based on duration allocated Tacotron-like acoustic models and WaveRNN neural vocoders. Different from t…

cs.CL2019★ 2 cited

A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis

Junjie Pan, Xiang Yin, Zhiling Zhang +4

In Mandarin text-to-speech (TTS) system, the front-end text processing module significantly influences the intelligibility and naturalness of synthesized speech. Building a typical…

cs.CL2019

A hybrid text normalization system using multi-head self-attention for mandarin

Junhui Zhang, Junjie Pan, Xiang Yin +5

In this paper, we propose a hybrid text normalization system using multi-head self-attention. The system combines the advantages of a rule-based model and a neural model for text p…

cs.CL2017★ 23 cited

Deep LSTM for Large Vocabulary Continuous Speech Recognition

Xu Tian, Jun Zhang, Zejun Ma +6

Recurrent neural networks (RNNs), especially long short-term memory (LSTM) RNNs, are effective network for sequential task like speech recognition. Deeper LSTM models perform well…