Search Results for author: Zexin Cai

Found 10 papers, 2 papers with code

Invertible Voice Conversion

no code implementations26 Jan 2022 Zexin Cai, Ming Li

In this paper, we propose an invertible deep learning framework called INVVC for voice conversion.

Voice Conversion

The DKU System Description for The Interspeech 2021 Auto-KWS Challenge

no code implementations11 Apr 2021 Yechen Wang, Yan Jia, Murong Ma, Zexin Cai, Ming Li

This paper introduces the system submitted by the DKU-SMIIP team for the Auto-KWS 2021 Challenge.

Dynamic Time Warping Frame +4

Training Wake Word Detection with Synthesized Speech Data on Confusion Words

no code implementations3 Nov 2020 Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li

Confusing-words are commonly encountered in real-life keyword spotting applications, which causes severe degradation of performance due to complex spoken terms and various kinds of words that sound similar to the predefined keywords.

Data Augmentation Keyword Spotting +1

Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario

no code implementations21 May 2020 Zexin Cai, Yaogen Yang, Ming Li

In addition, we investigate the model's performance on the cross-lingual synthesis, with and without a bilingual dataset during training.

Speech Synthesis

From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint

1 code implementation10 May 2020 Zexin Cai, Chuxiong Zhang, Ming Li

The constraint is taken by an added loss related to the speaker identity, which is centralized to improve the speaker similarity between the synthesized speech and its natural reference audio.

Speaker Verification Speech Synthesis +1

End-to-end Language Identification using NetFV and NetVLAD

1 code implementation9 Sep 2018 Jinkun Chen, Weicheng Cai, Danwei Cai, Zexin Cai, Haibin Zhong, Ming Li

In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task.

Language Identification

Insights into End-to-End Learning Scheme for Language Identification

no code implementations2 Apr 2018 Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li

After comparing with the state-of-the-art GMM i-vector methods, we give insights into CNN, and reveal its role and effect in the whole pipeline.

Language Identification

A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification

no code implementations2 Apr 2018 Weicheng Cai, Zexin Cai, Xiang Zhang, Xiaoqi Wang, Ming Li

A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification.

Language Identification

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