### Abstract

Using the central observation that margin-based weighted classification error (modeled using Minimum Phone Error (MPE)) corresponds to the derivative with respect to the margin term of margin-based hinge loss (modeled using Maximum Mutual Information (MMI)), this article subsumes and extends margin-based MPE and MMI within a broader framework in which the objective function is an integral of MPE loss over a range of margin values. Applying the Fundamental Theorem of Calculus, this integral is easily evaluated using finite differences of MMI functionals; lattice-based training using the new criterion can then be carried out using differences of MMI gradients. Experimental results comparing the new framework with margin-based MMI, MCE and MPE on the Corpus of Spontaneous Japanese and the MIT OpenCourseWare/MIT-World corpus are presented.

Original language | English |
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Pages (from-to) | 224-227 |

Number of pages | 4 |

Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |

Publication status | Published - 2009 Nov 26 |

Event | 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 - Brighton, United Kingdom Duration: 2009 Sep 6 → 2009 Sep 10 |

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### ASJC Scopus subject areas

- Human-Computer Interaction
- Signal Processing
- Software
- Sensory Systems