Speaker detection in the wild: Lessons learned from JSALT 2019

التفاصيل البيبلوغرافية
العنوان: Speaker detection in the wild: Lessons learned from JSALT 2019
المؤلفون: Garcia, Paola, Villalba, Jesus, Bredin, Herve, Du, Jun, Castan, Diego, Cristia, Alejandrina, Bullock, Latane, Guo, Ling, Okabe, Koji, Nidadavolu, Phani Sankar, Kataria, Saurabh, Chen, Sizhu, Galmant, Leo, Lavechin, Marvin, Sun, Lei, Gill, Marie-Philippe, Ben-Yair, Bar, Abdoli, Sajjad, Wang, Xin, Bouaziz, Wassim, Titeux, Hadrien, Dupoux, Emmanuel, Lee, Kong Aik, Dehak, Najim
سنة النشر: 2019
المجموعة: Computer Science
مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
الوصف: This paper presents the problems and solutions addressed at the JSALT workshop when using a single microphone for speaker detection in adverse scenarios. The main focus was to tackle a wide range of conditions that go from meetings to wild speech. We describe the research threads we explored and a set of modules that was successful for these scenarios. The ultimate goal was to explore speaker detection; but our first finding was that an effective diarization improves detection, and not having a diarization stage impoverishes the performance. All the different configurations of our research agree on this fact and follow a main backbone that includes diarization as a previous stage. With this backbone, we analyzed the following problems: voice activity detection, how to deal with noisy signals, domain mismatch, how to improve the clustering; and the overall impact of previous stages in the final speaker detection. In this paper, we show partial results for speaker diarizarion to have a better understanding of the problem and we present the final results for speaker detection.
Comment: Submitted to ICASSP 2020
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/1912.00938
رقم الأكسشن: edsarx.1912.00938
قاعدة البيانات: arXiv