التفاصيل البيبلوغرافية
| العنوان: |
The 2020 Personalized Voice Trigger Challenge: Open Database, Evaluation Metrics and the Baseline Systems |
| المؤلفون: |
Jia, Yan, Wang, Xingming, Qin, Xiaoyi, Zhang, Yinping, Wang, Xuyang, Wang, Junjie, Li, Ming |
| سنة النشر: |
2021 |
| مصطلحات موضوعية: |
Electrical Engineering and Systems Science - Audio and Speech Processing |
| الوصف: |
The 2020 Personalized Voice Trigger Challenge (PVTC2020) addresses two different research problems a unified setup: joint wake-up word detection with speaker verification on close-talking single microphone data and far-field multi-channel microphone array data. Specially, the second task poses an additional cross-channel matching challenge on top of the far-field condition. To simulate the real-life application scenario, the enrollment utterances are recorded from close-talking cell-phone only, while the test utterances are recorded from both the close-talking cell-phone and the far-field microphone arrays. This paper introduces our challenge setup and the released database as well as the evaluation metrics. In addition, we present a joint end-to-end neural network baseline system trained with the proposed database for speaker-dependent wake-up word detection. Results show that the cost calculated from the miss rate and the false alarm rate, can reach 0.37 in the close-talking single microphone task and 0.31 in the far-field microphone array task. The official website and the open-source baseline system have been released. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2101.01935 |
| رقم الانضمام: |
edsarx.2101.01935 |
| قاعدة البيانات: |
arXiv |