x-vector：Deep Neural Network Embeddings for Text-Independent Speaker Verification
会议：2017 interspeech 机构：The Johns Hopkins University 作者：David Snyder abstract 用dnn提取的embedding取代i-vector表示说话人特征，对输入的speech做时间池化， 用不同长度的语音训练网络，以区别说话人，句子对应定长的embeddding,成对的embedding用于PLDA打分。在NIST SRE201
相关文章
- 1. Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification
- 2. 2019--Target Speaker Extraction for Multi-Talker Speaker Verification
- 3. Signature Verification using a Siamese Time Delay Neural Network
- 4. icassp2020--TEXT-INDEPENDENT SPEAKER VERIFICATION WITH ADVERSARIAL LEARNING ON SHORT UTTERANCES
- 5. Deep Speaker: an End-to-End Neural Speaker Embedding System
- 6. X-VECTOR:ROBUST DNN EMBEDDING FOR SPEAKER RECOGNITION
- 7. Within-sample variability-invariant loss for robust speaker recognition under noisy environments
- 8. (zhuan) Recurrent Neural Network
- 9. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
- 10. 翻译-Support Vector Machines using GMM Supervectors for Speaker Verification
- 更多相关文章...
- • Swift for 循环 - Swift 教程
- • Scala for循环 - Scala教程
- • Flink 数据传输及反压详解
- • 算法总结-广度优先算法
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 升级Gradle后报错Gradle‘s dependency cache may be corrupt (this sometimes occurs
- 2. Smarter, Not Harder
- 3. mac-2019-react-native 本地环境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
- 4. 查看文件中关键字前后几行的内容
- 5. XXE萌新进阶全攻略
- 6. Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
- 7. zabbix5.0通过agent监控winserve12
- 8. IT行业UI前景、潜力如何？
- 9. Mac Swig 3.0.12 安装
- 10. Windows上FreeRDP-WebConnect是一个开源HTML5代理，它提供对使用RDP的任何Windows服务器和工作站的Web访问
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification
- 2. 2019--Target Speaker Extraction for Multi-Talker Speaker Verification
- 3. Signature Verification using a Siamese Time Delay Neural Network
- 4. icassp2020--TEXT-INDEPENDENT SPEAKER VERIFICATION WITH ADVERSARIAL LEARNING ON SHORT UTTERANCES
- 5. Deep Speaker: an End-to-End Neural Speaker Embedding System
- 6. X-VECTOR:ROBUST DNN EMBEDDING FOR SPEAKER RECOGNITION
- 7. Within-sample variability-invariant loss for robust speaker recognition under noisy environments
- 8. (zhuan) Recurrent Neural Network
- 9. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
- 10. 翻译-Support Vector Machines using GMM Supervectors for Speaker Verification