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--- abstract: "In this paper, we consider a generalization of the state-of-art\r\ndiscriminative method for optimizing the conditional likelihood in\r\nHidden Markov Models (HMMs), called the Extended Baum-Welch (EBW)\r\nalgorithm, that has had significant impact on the speech recognition\r\ncommunity. We propose a generalized form of EBW update rules that\r\ncan be associated with a weighted sum of updated and initial models,\r\nand demonstrate that using novel update rules can significantly\r\nspeed up parameter estimation for Gaussian mixtures." altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: - kanevsky@us.ibm.com - dpovey@us.ibm.com - bhuvana@us.ibm.com - rish@us.ibm.com - tsainath@MIT.EDU creators_name: - family: Kanevsky given: Dimitri honourific: Dr lineage: '' - family: Povey given: Daniel honourific: Dr lineage: '' - family: Ramabhadran given: Bhuvana honourific: Dr lineage: '' - family: Rish given: Irina honourific: Dr lineage: '' - family: Sainath given: Tara honourific: Dr lineage: '' date: 2008-04-27 date_type: completed datestamp: 2008-04-30 18:35:19 department: ~ dir: disk0/00/00/60/37 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 6037 fileinfo: /style/images/fileicons/application_pdf.png;/6037/1/ebw.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: ~ issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'Extended Baum Welch, optimization, speech' lastmod: 2011-03-11 08:57:06 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: ~ pubdom: TRUE publication: ~ publisher: ~ refereed: FALSE referencetext: "Cong Liu Peng Liu Hui Jiang Soong, F. Ren-Hua Wang, Constrained Line Search Optimization for Discriminative Training in Speech Recognition, Proc. ICASSP, 2007.\r\n\r\nDimitri Kanevsky, Extended Baum Transformations for General Functions, Proc. ICASSP.\r\n\r\nDimitri Kanevsky, Extended Baum Transformations for General Functions, II, tech. Rep. RC23645(W0506-120), Human Language technologies, IBM.\r\n\r\nDaniel Povey, Discriminative Training for Large Vocabulary Speech Recognition, PhD Thesis March 1, Cambridge, UK.\r\n\r\nDaniel Povey, Brian Kingsbury, Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training, ICASSP'07.\r\n\r\nDaniel Povey, Dimitri Kanevsky, Brian Kingsbury, Bhuvana Ramabhadran, George Saon and Karthik Visweswariah, Boosted MMI for model and feature-space discriminative training, ICASSP'08.\r\n\r\nTara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabhadran, Gradient Steepness Metrics Using Extended Baum-Welch Transformations for Universal Pattern Recognition Tasks, Proc. ASRU, 2007\r\n\r\nP.C. Woodland and D. Povey, Large Scale Discriminative Training of hidden Markov modeles for Speech Recognition, Computer Speech and Language, pp. 25-47, Vol. 16, No. 1, January 2002.\r\n" relation_type: [] relation_uri: [] reportno: ~ rev_number: 22 series: ~ source: ~ status_changed: 2008-04-30 18:35:19 subjects: - comp-sci-speech succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: 'A New Family of Extended Baum-Welch Update Rules ' type: preprint userid: 6589 volume: ~