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Found 14 papers, 3 papers with code
Self-supervised Reflective Learning through Self-distillation and Online Clustering for Speaker Representation Learning
Specifically, a teacher model continually refines pseudo labels through online clustering, providing dynamic supervision signals to train the student model.
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023
This paper introduces our system designed for Track 2, which focuses on locating manipulated regions, in the second Audio Deepfake Detection Challenge (ADD 2023).
Waveform Boundary Detection for Partially Spoofed Audio
The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments.
Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems
An automatic speaker verification system aims to verify the speaker identity of a speech signal.
Invertible Voice Conversion
In this paper, we propose an invertible deep learning framework called INVVC for voice conversion.
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines
Moreover, speaker information control is added to our system to maintain the voice cloning performance.
The DKU System Description for The Interspeech 2021 Auto-KWS Challenge
This paper introduces the system submitted by the DKU-SMIIP team for the Auto-KWS 2021 Challenge.
Training Wake Word Detection with Synthesized Speech Data on Confusion Words
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.
Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario
In addition, we investigate the model's performance on the cross-lingual synthesis, with and without a bilingual dataset during training.
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint
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.
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features
This paper describes a conditional neural network architecture for Mandarin Chinese polyphone disambiguation.
End-to-end Language Identification using NetFV and NetVLAD
In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task.
A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification.
Insights into End-to-End Learning Scheme for Language Identification
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.
