Improving Speaker Verification in Noisy Environment Using DNN Classifier
2021 RIVF International Conference on Computing and Communication Technologies (RIVF)(2021)
摘要
Speaker verification in noisy environments is still a challenging task. Previous studies have proposed speaker embeddings (x-vectors, ThinResNet) with classifier models (PLDA, cosine) to classify if an audio is spoken by a specific speaker. The verification process is defined in 3 steps: training an embedding extractor, enrollment and verification. Most studies were trying to mitigate the noisy is...
更多查看译文
关键词
Training,Computational modeling,Pipelines,Neural networks,Data models,Communications technology,Noise measurement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要