SPCC 2020 - Junichi Yamagishi/Xin Wang - Neural auto-regressive, source-filter and glottal vocoders скачать в хорошем качестве

SPCC 2020 - Junichi Yamagishi/Xin Wang - Neural auto-regressive, source-filter and glottal vocoders

Lecture on neural vocoders offered by Junichi Yamagishi and Xin Wang during the Speech Processing Courses in Crete (SPCC) Summer School. -- Table of contents -- 00:00 - Title 00:10 - Introduction 10:22 - What is the vocoder? 23:28 - How do the vocoders work? - Auto-regressive vocoders - Non-neural 31:10 - How do the vocoders work? - Auto-regressive vocoders - Neural linear 44:58 - How do the vocoders work? - Auto-regressive vocoders - Neural non- linear 01:06:48 - How do the vocoders work? - Auto-regressive vocoders - Advanced topic 01:12:19 - Q&A 01:17:40 - How do the vocoders work? - Source-filter vocoders - Non-neural 01:31:14 - How do the vocoders work? - Source-filter vocoders - Neura l 01:48:59 - How do the vocoders work? - Source-filter vocoders - Advanced topic 02:10:39 - How do the vocoders work? - Source-filter vocoders - Related models 02:16:40 - How do the vocoders work? - Glottal vocoders - Non-neural 02:20:37 - How do the vocoders work? - Glottal vocoders - neural 02:28:07 - Their application to musical instruments 02:49:53 - Conclusion 02:54:58 - Q&A