Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification
Author:
Affiliation:
1. AI Lab, Lenovo Research,Beijing,China
2. Duke Kunshan University,Data Science Research Center,Kunshan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746247.pdf?arnumber=9746247
Reference24 articles.
1. Small Footprint Text-Independent Speaker Verification For Embedded Systems
2. Xception: Deep Learning with Depthwise Separable Convolutions
3. Binary Neural Network for Speaker Verification
4. Knowledge Distillation for Small Footprint Deep Speaker Embedding;wang;ICASSP,2019
5. The Idlab Voxsrc-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification
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1. Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Lightweight Speaker Verification Using Transformation Module With Feature Partition and Fusion;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
3. Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
4. Towards Lightweight Speaker Verification via Adaptive Neural Network Quantization;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
5. PDF-NET: Pitch-adaptive Dynamic Filter Network for Intra-gender Speaker Verification;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
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