Audio Segmentation and Classification in a Broadcast News Task

David Graff. An overview of broadcast news corpora[J].Speech Communication.2002, 37(1):15-26[2]Pallett D S. A look a NISTs benchmark ASR tests: Past, present,and future. IEEE 2003 Automatic Speech Recognition and Understanding workshop, U S. Virgin Islands, 30 Nov.-3 Dec., 2003: 483 - 488.[3]Wayne C. Mutilingual topic detection and tracking: Successful research enabled by corpora and evaluation. Language Resources and Evaluation Conference (LREC), Athens, Greece, 31 May-2 June, 2000: 1487-1494.[4]David S. Automatic transcription of broadcast news data[J].Speech Communication.2002, 37(1):1-2[5]Robinson A J. Connectionist speech recognition of broadcast news[J].Speech Communication.2002, 37(1):27-45[6]Woodland P C. The development of the HTK broadcast news transcription system: An overview[J].Speech Communication.2002, 37(1):47-67[7]Hung Jeih-Weih. Automatic metric-based speech segmentation for broadcast news via principal component analysis. In International Conference on Spoken Language Processing (ICSLP) 2000, Beijing China, October 16-20, 2000, (4): 121-124.[8]Cheng Shi-sian. A sequential metric-based audio segmentation method via the Bayesian information criterion. EuroSpeech 2003, Geneva, Switzerland, Sep. 1-4, 2003: 945-948.[9]Lin L. Speech enhancement for nonstationary noise environment. Asia-Pacific Conference on Circuits and Systems, 2002, Singapore, Oct. 28-31, 2002, Vol(1): 177-180.[10]Yamamoto H. Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification. IEEE International Conference on Acoustics Speech and Signal Processing 2004, Montreal Canada, May 17-21, 2004, Vol(1): 17-21.[11]Legetter C J. Maximum likelihood linear regression for speaker adaptation of continuous density HMMs[J].Computer Speech and Language.1995, 9(2):171-186