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For research on the proper law of audiovisual speech and biometrics technology, and evaluation of algorithms and systems, we construct a multi-language and multiview database HIT-AVDB-II with a corpus of various common and special sentences include Chinese and English poems, tongue twister, digits, Greek alphabet and music. The HIT-AVDB-II is ready to facilitate the investigation of multi-view biometrics technology and visual speech reading. HIT-AVDB-II contains formal and extreme feature cases for study. For fair comparison, we also establish related experiment protocols on view and intersection respectively. Further, we supplied one baseline speakeridentification recognition algorithm based on DCT to be compared.