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Daniel Garcia-Romero
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Publications
- 2019
- [c58]David Snyder, Daniel Garcia-Romero, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur:
Speaker Recognition for Multi-speaker Conversations Using X-vectors. ICASSP 2019: 5796-5800 - [c55]Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Jonas Borgstrom, Fred Richardson, Suwon Shon, François Grondin, Réda Dehak, Leibny Paola García-Perera, Daniel Povey, Pedro A. Torres-Carrasquillo, Sanjeev Khudanpur, Najim Dehak:
State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. INTERSPEECH 2019: 1488-1492 - [c54]Daniel Garcia-Romero, David Snyder, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur:
x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition. INTERSPEECH 2019: 1493-1496 - [c53]Daniel Garcia-Romero, David Snyder, Shinji Watanabe, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur:
Speaker Recognition Benchmark Using the CHiME-5 Corpus. INTERSPEECH 2019: 1506-1510 - 2018
- [c51]David Snyder, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, Sanjeev Khudanpur:
X-Vectors: Robust DNN Embeddings for Speaker Recognition. ICASSP 2018: 5329-5333 - [c49]Gregory Sell, David Snyder, Alan McCree, Daniel Garcia-Romero, Jesús Villalba, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur:
Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge. INTERSPEECH 2018: 2808-2812 - [c47]David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Daniel Povey, Sanjeev Khudanpur:
Spoken Language Recognition using X-vectors. Odyssey 2018: 105-111 - 2017
- [c45]David Snyder, Daniel Garcia-Romero, Daniel Povey, Sanjeev Khudanpur:
Deep Neural Network Embeddings for Text-Independent Speaker Verification. INTERSPEECH 2017: 999-1003 - 2016
- [c39]David Snyder, Pegah Ghahremani, Daniel Povey, Daniel Garcia-Romero, Yishay Carmiel, Sanjeev Khudanpur:
Deep neural network-based speaker embeddings for end-to-end speaker verification. SLT 2016: 165-170
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